ME Case Archives

Dataset statistics

Number of variables	217
Number of observations	60537
Missing cells	1416862
Missing cells (%)	10.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	224.9 MiB
Average record size in memory	3.8 KiB

Variable types

Categorical	193
Numeric	24

Alerts

`STATEFP` has constant value "17.0"	Constant
`MTFCC` has constant value "G5020"	Constant
`FUNCSTAT` has constant value "S"	Constant
`CFTYPE` has constant value "Park"	Constant
`CFSUBTYPE` has constant value "Park"	Constant
`casenumber` has a high cardinality: 60537 distinct values	High cardinality
`incident_date_x` has a high cardinality: 52231 distinct values	High cardinality
`death_date_x` has a high cardinality: 2699 distinct values	High cardinality
`residence_city` has a high cardinality: 1124 distinct values	High cardinality
`primarycause` has a high cardinality: 8798 distinct values	High cardinality
`secondarycause` has a high cardinality: 9266 distinct values	High cardinality
`primarycause_linea` has a high cardinality: 2526 distinct values	High cardinality
`primarycause_lineb` has a high cardinality: 377 distinct values	High cardinality
`geocoded_address` has a high cardinality: 5226 distinct values	High cardinality
`full_address` has a high cardinality: 6311 distinct values	High cardinality
`NAMELSAD` has a high cardinality: 1937 distinct values	High cardinality
`CFNAME` has a high cardinality: 77 distinct values	High cardinality
`ADDRESS` has a high cardinality: 73 distinct values	High cardinality
`landuse_name` has a high cardinality: 54 distinct values	High cardinality
`death_datetime` has a high cardinality: 59410 distinct values	High cardinality
`death_time` has a high cardinality: 1440 distinct values	High cardinality
`primary_combined` has a high cardinality: 12238 distinct values	High cardinality
`incident_date_y` has a high cardinality: 52186 distinct values	High cardinality
`death_date_y` has a high cardinality: 59404 distinct values	High cardinality
`death_street` has a high cardinality: 39810 distinct values	High cardinality
`death_city` has a high cardinality: 293 distinct values	High cardinality
`death_zip` has a high cardinality: 497 distinct values	High cardinality
`death_location` has a high cardinality: 5808 distinct values	High cardinality
`death_location_1` has a high cardinality: 152 distinct values	High cardinality
`record_id` has a high cardinality: 26350 distinct values	High cardinality
`cold_related` is highly correlated with `cold_combined`	High correlation
`heat_related` is highly correlated with `hot_combined`	High correlation
`opioids` is highly correlated with `covid_primary`	High correlation
`recovered` is highly correlated with `closest_pharmacy` and 2 other fields	High correlation
`final_latitude` is highly correlated with `INTPTLAT`	High correlation
`final_longitude` is highly correlated with `INTPTLON` and 1 other fields	High correlation
`closest_pharmacy` is highly correlated with `recovered` and 2 other fields	High correlation
`FIRST_COUNTY` is highly correlated with `COUNTYFP`	High correlation
`COUNTYFP` is highly correlated with `FIRST_COUNTY` and 1 other fields	High correlation
`TRACTCE` is highly correlated with `GEOID` and 2 other fields	High correlation
`GEOID` is highly correlated with `TRACTCE` and 2 other fields	High correlation
`NAME` is highly correlated with `TRACTCE` and 2 other fields	High correlation
`ALAND` is highly correlated with `TRACTCE` and 2 other fields	High correlation
`INTPTLAT` is highly correlated with `final_latitude`	High correlation
`INTPTLON` is highly correlated with `final_longitude` and 1 other fields	High correlation
`OBJECTID_12` is highly correlated with `final_longitude` and 1 other fields	High correlation
`death_month` is highly correlated with `death_week`	High correlation
`death_week` is highly correlated with `death_month`	High correlation
`hot_combined` is highly correlated with `heat_related`	High correlation
`cold_combined` is highly correlated with `cold_related`	High correlation
`repeated_address` is highly correlated with `recovered` and 2 other fields	High correlation
`repeated_lat_long` is highly correlated with `recovered` and 3 other fields	High correlation
`covid_primary` is highly correlated with `opioids` and 133 other fields	High correlation
`covid_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hypoxic-ischemic_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hypoxia_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`op-name_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`drug_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`nonfentanyl_opioid_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`opiate_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`alcohol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`eth_alc_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hypoxic-ischemic_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hypoxia_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`amphetamine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`stimulant_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methamphetamine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`amphetamine_based_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hallucinogen_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`benzodiazepine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`benzo_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`sedative_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cocaine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`alcohol_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`drug_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`eth_alc_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fentanyl-name_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`lorazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`clonazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methadone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`anpp_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fen_analog_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`heroin_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`xylazine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`morphine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`alprazolam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`tramadol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`pcp_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`buprenorphine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hydromorphone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hydrocodone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`inhalant_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`acetylfentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`mitragynine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxycodone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cocaine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`stimulant_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`dihydrocodeine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`diazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`topiramate_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cyclobenzaprine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`toxic_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`temazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`carfentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`ketamine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxymorphone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`codeine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methocarbamol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`chlordiazepoxide_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`acetylsalicylic acid_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`acetylsalicylic acid_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`polysubstance_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`levomethorphan_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`levorphanol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`butyryl_fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`heroin_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`nonfentanyl_opioid_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`opiate_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fentanyl-name_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fentanyl_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`anpp_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fen_analog_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`valerylfentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`estazolam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`carisoprodol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`inhalant_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`lsd_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`propoxyphene_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fbf_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`barbiturates_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`amphetamine_based_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hallucinogen_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`marijuana_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cannabis_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`op-name_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`benzodiazepine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`benzo_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`sedative_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methylphenidate_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`u-47700_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`norfentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`pcp_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`polysubstance_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`metaxalone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`tarpentadol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methadone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cyclopropyl_fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`phentermine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methoxyacetyl_fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`furanyl_fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fbf_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fibf_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`flurazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`acetylfentanyl_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`u-49900_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`tizanidine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`furanyl_fentanyl_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`lsd_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methamphetamine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hydromorphone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hydrocodone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`dihydrocodeine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`amphetamine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`meperidine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`clonazepam_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`alprazolam_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`xylazine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`mitragynine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`codeine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`ketamine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`diazepam_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxycodone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`levomethorphan_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`levorphanol_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`lorazepam_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`marijuana_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cannabis_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxymorphone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`tramadol_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cyclobenzaprine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`toxic_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`topiramate_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`morphine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`buprenorphine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cold_related` is highly correlated with `cold_combined`	High correlation
`heat_related` is highly correlated with `hot_combined`	High correlation
`commissioner_district` is highly correlated with `final_longitude` and 1 other fields	High correlation
`opioids` is highly correlated with `covid_primary`	High correlation
`recovered` is highly correlated with `closest_pharmacy` and 2 other fields	High correlation
`final_latitude` is highly correlated with `INTPTLAT`	High correlation
`final_longitude` is highly correlated with `commissioner_district` and 1 other fields	High correlation
`closest_pharmacy` is highly correlated with `recovered` and 2 other fields	High correlation
`FIRST_COUNTY` is highly correlated with `COUNTYFP` and 1 other fields	High correlation
`COUNTYFP` is highly correlated with `FIRST_COUNTY` and 1 other fields	High correlation
`TRACTCE` is highly correlated with `NAME`	High correlation
`GEOID` is highly correlated with `FIRST_COUNTY` and 1 other fields	High correlation
`NAME` is highly correlated with `TRACTCE`	High correlation
`INTPTLAT` is highly correlated with `final_latitude`	High correlation
`INTPTLON` is highly correlated with `commissioner_district` and 1 other fields	High correlation
`death_month` is highly correlated with `death_week`	High correlation
`death_week` is highly correlated with `death_month`	High correlation
`hot_combined` is highly correlated with `heat_related`	High correlation
`cold_combined` is highly correlated with `cold_related`	High correlation
`repeated_address` is highly correlated with `recovered` and 2 other fields	High correlation
`repeated_lat_long` is highly correlated with `recovered` and 2 other fields	High correlation
`covid_primary` is highly correlated with `opioids` and 133 other fields	High correlation
`covid_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hypoxic-ischemic_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hypoxia_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`op-name_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`drug_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`nonfentanyl_opioid_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`opiate_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`alcohol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`eth_alc_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hypoxic-ischemic_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hypoxia_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`amphetamine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`stimulant_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methamphetamine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`amphetamine_based_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hallucinogen_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`benzodiazepine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`benzo_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`sedative_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cocaine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`alcohol_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`drug_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`eth_alc_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fentanyl-name_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`lorazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`clonazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methadone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`anpp_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fen_analog_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`heroin_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`xylazine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`morphine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`alprazolam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`tramadol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`pcp_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`buprenorphine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hydromorphone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hydrocodone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`inhalant_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`acetylfentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`mitragynine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxycodone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cocaine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`stimulant_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`dihydrocodeine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`diazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`topiramate_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cyclobenzaprine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`toxic_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`temazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`carfentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`ketamine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxymorphone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`codeine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methocarbamol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`chlordiazepoxide_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`acetylsalicylic acid_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`acetylsalicylic acid_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`polysubstance_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`levomethorphan_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`levorphanol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`butyryl_fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`heroin_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`nonfentanyl_opioid_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`opiate_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fentanyl-name_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fentanyl_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`anpp_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fen_analog_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`valerylfentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`estazolam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`carisoprodol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`inhalant_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`lsd_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`propoxyphene_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fbf_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`barbiturates_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`amphetamine_based_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hallucinogen_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`marijuana_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cannabis_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`op-name_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`benzodiazepine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`benzo_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`sedative_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methylphenidate_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`u-47700_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`norfentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`pcp_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`polysubstance_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`metaxalone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`tarpentadol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methadone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cyclopropyl_fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`phentermine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methoxyacetyl_fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`furanyl_fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fbf_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fibf_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`flurazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`acetylfentanyl_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`u-49900_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`tizanidine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`furanyl_fentanyl_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`lsd_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methamphetamine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hydromorphone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hydrocodone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`dihydrocodeine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`amphetamine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`meperidine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`clonazepam_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`alprazolam_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`xylazine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`mitragynine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`codeine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`ketamine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`diazepam_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxycodone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`levomethorphan_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`levorphanol_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`lorazepam_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`marijuana_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cannabis_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxymorphone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`tramadol_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cyclobenzaprine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`toxic_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`topiramate_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`morphine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`buprenorphine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cold_related` is highly correlated with `cold_combined`	High correlation
`heat_related` is highly correlated with `hot_combined`	High correlation
`opioids` is highly correlated with `covid_primary`	High correlation
`recovered` is highly correlated with `closest_pharmacy` and 2 other fields	High correlation
`final_latitude` is highly correlated with `INTPTLAT`	High correlation
`final_longitude` is highly correlated with `INTPTLON`	High correlation
`closest_pharmacy` is highly correlated with `recovered` and 2 other fields	High correlation
`FIRST_COUNTY` is highly correlated with `COUNTYFP`	High correlation
`COUNTYFP` is highly correlated with `FIRST_COUNTY` and 1 other fields	High correlation
`TRACTCE` is highly correlated with `GEOID` and 1 other fields	High correlation
`GEOID` is highly correlated with `TRACTCE` and 1 other fields	High correlation
`NAME` is highly correlated with `TRACTCE` and 1 other fields	High correlation
`INTPTLAT` is highly correlated with `final_latitude`	High correlation
`INTPTLON` is highly correlated with `final_longitude`	High correlation
`death_month` is highly correlated with `death_week`	High correlation
`death_week` is highly correlated with `death_month`	High correlation
`hot_combined` is highly correlated with `heat_related`	High correlation
`cold_combined` is highly correlated with `cold_related`	High correlation
`repeated_address` is highly correlated with `recovered` and 2 other fields	High correlation
`repeated_lat_long` is highly correlated with `recovered` and 3 other fields	High correlation
`covid_primary` is highly correlated with `opioids` and 133 other fields	High correlation
`covid_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hypoxic-ischemic_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hypoxia_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`op-name_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`drug_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`nonfentanyl_opioid_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`opiate_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`alcohol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`eth_alc_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hypoxic-ischemic_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hypoxia_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`amphetamine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`stimulant_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methamphetamine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`amphetamine_based_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hallucinogen_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`benzodiazepine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`benzo_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`sedative_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cocaine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`alcohol_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`drug_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`eth_alc_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fentanyl-name_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`lorazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`clonazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methadone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`anpp_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fen_analog_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`heroin_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`xylazine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`morphine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`alprazolam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`tramadol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`pcp_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`buprenorphine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hydromorphone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hydrocodone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`inhalant_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`acetylfentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`mitragynine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxycodone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cocaine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`stimulant_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`dihydrocodeine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`diazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`topiramate_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cyclobenzaprine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`toxic_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`temazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`carfentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`ketamine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxymorphone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`codeine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methocarbamol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`chlordiazepoxide_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`acetylsalicylic acid_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`acetylsalicylic acid_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`polysubstance_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`levomethorphan_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`levorphanol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`butyryl_fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`heroin_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`nonfentanyl_opioid_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`opiate_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fentanyl-name_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fentanyl_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`anpp_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fen_analog_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`valerylfentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`estazolam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`carisoprodol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`inhalant_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`lsd_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`propoxyphene_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fbf_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`barbiturates_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`amphetamine_based_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hallucinogen_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`marijuana_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cannabis_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`op-name_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`benzodiazepine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`benzo_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`sedative_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methylphenidate_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`u-47700_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`norfentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`pcp_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`polysubstance_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`metaxalone_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`tarpentadol_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methadone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cyclopropyl_fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`phentermine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methoxyacetyl_fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`furanyl_fentanyl_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fbf_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`fibf_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`flurazepam_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`acetylfentanyl_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`u-49900_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`tizanidine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`furanyl_fentanyl_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`lsd_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`methamphetamine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hydromorphone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`hydrocodone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`dihydrocodeine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`amphetamine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`meperidine_primary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`clonazepam_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`alprazolam_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`xylazine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`mitragynine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`codeine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`ketamine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`diazepam_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxycodone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`levomethorphan_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`levorphanol_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`lorazepam_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`marijuana_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cannabis_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`oxymorphone_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`tramadol_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`cyclobenzaprine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`toxic_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`topiramate_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`morphine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`buprenorphine_secondary` is highly correlated with `covid_primary` and 132 other fields	High correlation
`age` is highly correlated with `manner` and 5 other fields	High correlation
`gender` is highly correlated with `CFNAME` and 3 other fields	High correlation
`race` is highly correlated with `CFNAME` and 2 other fields	High correlation
`latino` is highly correlated with `FAC_NAME`	High correlation
`cold_related` is highly correlated with `FAC_NAME` and 1 other fields	High correlation
`heat_related` is highly correlated with `hot_combined`	High correlation
`commissioner_district` is highly correlated with `final_latitude` and 15 other fields	High correlation
`manner` is highly correlated with `age` and 138 other fields	High correlation
`gunrelated` is highly correlated with `age` and 4 other fields	High correlation
`opioids` is highly correlated with `CFNAME` and 6 other fields	High correlation
`primarycause_linec` is highly correlated with `landuse_name` and 4 other fields	High correlation
`geocoded_score` is highly correlated with `FAC_NAME`	High correlation
`recovered` is highly correlated with `closest_pharmacy` and 7 other fields	High correlation
`final_latitude` is highly correlated with `commissioner_district` and 15 other fields	High correlation
`final_longitude` is highly correlated with `commissioner_district` and 12 other fields	High correlation
`closest_pharmacy` is highly correlated with `recovered` and 7 other fields	High correlation
`FIRST_COUNTY` is highly correlated with `recovered` and 8 other fields	High correlation
`LANDUSE` is highly correlated with `OS_MGMT` and 7 other fields	High correlation
`LANDUSE2` is highly correlated with `MODIFIER`	High correlation
`OS_MGMT` is highly correlated with `commissioner_district` and 8 other fields	High correlation
`FAC_NAME` is highly correlated with `age` and 25 other fields	High correlation
`PLATTED` is highly correlated with `LANDUSE` and 3 other fields	High correlation
`MODIFIER` is highly correlated with `LANDUSE2` and 1 other fields	High correlation
`COUNTYFP` is highly correlated with `recovered` and 13 other fields	High correlation
`TRACTCE` is highly correlated with `commissioner_district` and 13 other fields	High correlation
`GEOID` is highly correlated with `recovered` and 13 other fields	High correlation
`NAME` is highly correlated with `commissioner_district` and 13 other fields	High correlation
`ALAND` is highly correlated with `final_latitude` and 6 other fields	High correlation
`AWATER` is highly correlated with `final_latitude` and 4 other fields	High correlation
`INTPTLAT` is highly correlated with `commissioner_district` and 14 other fields	High correlation
`INTPTLON` is highly correlated with `commissioner_district` and 13 other fields	High correlation
`OBJECTID_12` is highly correlated with `commissioner_district` and 13 other fields	High correlation
`CFNAME` is highly correlated with `age` and 149 other fields	High correlation
`ADDRESS` is highly correlated with `gender` and 139 other fields	High correlation
`GNISCODE` is highly correlated with `commissioner_district` and 8 other fields	High correlation
`COMMENT` is highly correlated with `commissioner_district` and 5 other fields	High correlation
`SOURCE` is highly correlated with `commissioner_district` and 13 other fields	High correlation
`Jurisdicti` is highly correlated with `age` and 18 other fields	High correlation
`Community` is highly correlated with `age` and 18 other fields	High correlation
`landuse_name` is highly correlated with `primarycause_linec` and 16 other fields	High correlation
`landuse_sub_name` is highly correlated with `LANDUSE` and 11 other fields	High correlation
`landuse_major_name` is highly correlated with `LANDUSE` and 7 other fields	High correlation
`death_month` is highly correlated with `death_week`	High correlation
`death_week` is highly correlated with `death_month`	High correlation
`motel` is highly correlated with `landuse_name`	High correlation
`hot_combined` is highly correlated with `heat_related`	High correlation
`cold_combined` is highly correlated with `cold_related` and 1 other fields	High correlation
`matching_addresses` is highly correlated with `primarycause_linec`	High correlation
`repeated_address` is highly correlated with `recovered` and 5 other fields	High correlation
`repeated_lat_long` is highly correlated with `recovered` and 5 other fields	High correlation
`death_county` is highly correlated with `death_state`	High correlation
`death_state` is highly correlated with `death_county`	High correlation
`covid_primary` is highly correlated with `manner` and 135 other fields	High correlation
`covid_secondary` is highly correlated with `manner` and 134 other fields	High correlation
`hypoxic-ischemic_primary` is highly correlated with `manner` and 136 other fields	High correlation
`hypoxia_primary` is highly correlated with `manner` and 136 other fields	High correlation
`op-name_primary` is highly correlated with `manner` and 133 other fields	High correlation
`drug_primary` is highly correlated with `manner` and 136 other fields	High correlation
`nonfentanyl_opioid_primary` is highly correlated with `manner` and 136 other fields	High correlation
`opiate_primary` is highly correlated with `manner` and 136 other fields	High correlation
`alcohol_primary` is highly correlated with `manner` and 135 other fields	High correlation
`eth_alc_primary` is highly correlated with `manner` and 135 other fields	High correlation
`hypoxic-ischemic_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`hypoxia_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`amphetamine_primary` is highly correlated with `manner` and 133 other fields	High correlation
`stimulant_primary` is highly correlated with `manner` and 134 other fields	High correlation
`methamphetamine_primary` is highly correlated with `manner` and 137 other fields	High correlation
`amphetamine_based_primary` is highly correlated with `manner` and 133 other fields	High correlation
`hallucinogen_primary` is highly correlated with `manner` and 133 other fields	High correlation
`benzodiazepine_primary` is highly correlated with `manner` and 135 other fields	High correlation
`benzo_primary` is highly correlated with `manner` and 135 other fields	High correlation
`sedative_primary` is highly correlated with `manner` and 134 other fields	High correlation
`cocaine_primary` is highly correlated with `manner` and 134 other fields	High correlation
`alcohol_secondary` is highly correlated with `manner` and 137 other fields	High correlation
`drug_secondary` is highly correlated with `manner` and 137 other fields	High correlation
`eth_alc_secondary` is highly correlated with `manner` and 137 other fields	High correlation
`fentanyl-name_primary` is highly correlated with `manner` and 136 other fields	High correlation
`fentanyl_primary` is highly correlated with `manner` and 136 other fields	High correlation
`lorazepam_primary` is highly correlated with `manner` and 135 other fields	High correlation
`clonazepam_primary` is highly correlated with `manner` and 134 other fields	High correlation
`methadone_primary` is highly correlated with `manner` and 135 other fields	High correlation
`anpp_primary` is highly correlated with `manner` and 135 other fields	High correlation
`fen_analog_primary` is highly correlated with `manner` and 135 other fields	High correlation
`heroin_primary` is highly correlated with `manner` and 135 other fields	High correlation
`xylazine_primary` is highly correlated with `manner` and 133 other fields	High correlation
`morphine_primary` is highly correlated with `manner` and 135 other fields	High correlation
`alprazolam_primary` is highly correlated with `manner` and 133 other fields	High correlation
`tramadol_primary` is highly correlated with `manner` and 133 other fields	High correlation
`pcp_primary` is highly correlated with `manner` and 135 other fields	High correlation
`buprenorphine_primary` is highly correlated with `manner` and 136 other fields	High correlation
`hydromorphone_primary` is highly correlated with `manner` and 135 other fields	High correlation
`hydrocodone_primary` is highly correlated with `manner` and 135 other fields	High correlation
`inhalant_primary` is highly correlated with `manner` and 135 other fields	High correlation
`acetylfentanyl_primary` is highly correlated with `manner` and 135 other fields	High correlation
`mitragynine_primary` is highly correlated with `manner` and 135 other fields	High correlation
`oxycodone_primary` is highly correlated with `manner` and 135 other fields	High correlation
`cocaine_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`stimulant_secondary` is highly correlated with `manner` and 133 other fields	High correlation
`dihydrocodeine_primary` is highly correlated with `manner` and 135 other fields	High correlation
`diazepam_primary` is highly correlated with `manner` and 135 other fields	High correlation
`topiramate_primary` is highly correlated with `manner` and 135 other fields	High correlation
`cyclobenzaprine_primary` is highly correlated with `manner` and 135 other fields	High correlation
`toxic_primary` is highly correlated with `manner` and 136 other fields	High correlation
`oxazepam_primary` is highly correlated with `manner` and 135 other fields	High correlation
`temazepam_primary` is highly correlated with `manner` and 135 other fields	High correlation
`carfentanyl_primary` is highly correlated with `manner` and 135 other fields	High correlation
`ketamine_primary` is highly correlated with `manner` and 135 other fields	High correlation
`oxymorphone_primary` is highly correlated with `manner` and 135 other fields	High correlation
`codeine_primary` is highly correlated with `manner` and 136 other fields	High correlation
`methocarbamol_primary` is highly correlated with `manner` and 135 other fields	High correlation
`chlordiazepoxide_primary` is highly correlated with `manner` and 135 other fields	High correlation
`acetylsalicylic acid_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`acetylsalicylic acid_primary` is highly correlated with `manner` and 135 other fields	High correlation
`polysubstance_primary` is highly correlated with `manner` and 135 other fields	High correlation
`levomethorphan_primary` is highly correlated with `manner` and 135 other fields	High correlation
`levorphanol_primary` is highly correlated with `manner` and 135 other fields	High correlation
`butyryl_fentanyl_primary` is highly correlated with `manner` and 135 other fields	High correlation
`heroin_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`nonfentanyl_opioid_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`opiate_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`fentanyl-name_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`fentanyl_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`anpp_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`fen_analog_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`valerylfentanyl_primary` is highly correlated with `manner` and 135 other fields	High correlation
`estazolam_primary` is highly correlated with `manner` and 135 other fields	High correlation
`carisoprodol_primary` is highly correlated with `manner` and 136 other fields	High correlation
`inhalant_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`lsd_primary` is highly correlated with `manner` and 135 other fields	High correlation
`propoxyphene_primary` is highly correlated with `manner` and 135 other fields	High correlation
`fbf_primary` is highly correlated with `manner` and 135 other fields	High correlation
`barbiturates_primary` is highly correlated with `manner` and 135 other fields	High correlation
`amphetamine_based_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`hallucinogen_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`marijuana_primary` is highly correlated with `manner` and 135 other fields	High correlation
`cannabis_primary` is highly correlated with `manner` and 135 other fields	High correlation
`op-name_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`benzodiazepine_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`benzo_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`sedative_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`methylphenidate_primary` is highly correlated with `manner` and 135 other fields	High correlation
`u-47700_primary` is highly correlated with `manner` and 135 other fields	High correlation
`norfentanyl_primary` is highly correlated with `manner` and 135 other fields	High correlation
`pcp_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`polysubstance_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`metaxalone_primary` is highly correlated with `manner` and 135 other fields	High correlation
`tarpentadol_primary` is highly correlated with `manner` and 135 other fields	High correlation
`methadone_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`cyclopropyl_fentanyl_primary` is highly correlated with `manner` and 133 other fields	High correlation
`phentermine_primary` is highly correlated with `manner` and 135 other fields	High correlation
`methoxyacetyl_fentanyl_primary` is highly correlated with `manner` and 135 other fields	High correlation
`furanyl_fentanyl_primary` is highly correlated with `manner` and 135 other fields	High correlation
`fbf_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`fibf_primary` is highly correlated with `manner` and 135 other fields	High correlation
`flurazepam_primary` is highly correlated with `manner` and 135 other fields	High correlation
`acetylfentanyl_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`u-49900_primary` is highly correlated with `manner` and 135 other fields	High correlation
`tizanidine_primary` is highly correlated with `manner` and 135 other fields	High correlation
`furanyl_fentanyl_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`lsd_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`methamphetamine_secondary` is highly correlated with `manner` and 133 other fields	High correlation
`hydromorphone_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`hydrocodone_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`dihydrocodeine_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`amphetamine_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`meperidine_primary` is highly correlated with `manner` and 135 other fields	High correlation
`clonazepam_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`alprazolam_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`xylazine_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`mitragynine_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`codeine_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`ketamine_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`diazepam_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`oxycodone_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`levomethorphan_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`levorphanol_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`lorazepam_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`marijuana_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`cannabis_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`oxymorphone_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`tramadol_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`cyclobenzaprine_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`toxic_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`topiramate_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`morphine_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`buprenorphine_secondary` is highly correlated with `manner` and 135 other fields	High correlation
`incident_date_x` has 1431 (2.4%) missing values	Missing
`commissioner_district` has 7584 (12.5%) missing values	Missing
`residence_city` has 1730 (2.9%) missing values	Missing
`residence_zip` has 1636 (2.7%) missing values	Missing
`primarycause` has 1045 (1.7%) missing values	Missing
`gunrelated` has 1432 (2.4%) missing values	Missing
`opioids` has 1432 (2.4%) missing values	Missing
`secondarycause` has 36843 (60.9%) missing values	Missing
`primarycause_linea` has 41285 (68.2%) missing values	Missing
`primarycause_lineb` has 58090 (96.0%) missing values	Missing
`primarycause_linec` has 60468 (99.9%) missing values	Missing
`geocoded_score` has 54025 (89.2%) missing values	Missing
`geocoded_address` has 53642 (88.6%) missing values	Missing
`full_address` has 53642 (88.6%) missing values	Missing
`final_latitude` has 1063 (1.8%) missing values	Missing
`final_longitude` has 1063 (1.8%) missing values	Missing
`FIRST_COUNTY` has 1551 (2.6%) missing values	Missing
`LANDUSE` has 1551 (2.6%) missing values	Missing
`LANDUSE2` has 17174 (28.4%) missing values	Missing
`OS_MGMT` has 59313 (98.0%) missing values	Missing
`FAC_NAME` has 60349 (99.7%) missing values	Missing
`PLATTED` has 58171 (96.1%) missing values	Missing
`MODIFIER` has 58163 (96.1%) missing values	Missing
`STATEFP` has 1341 (2.2%) missing values	Missing
`COUNTYFP` has 1341 (2.2%) missing values	Missing
`TRACTCE` has 1341 (2.2%) missing values	Missing
`GEOID` has 1341 (2.2%) missing values	Missing
`NAME` has 1341 (2.2%) missing values	Missing
`NAMELSAD` has 1341 (2.2%) missing values	Missing
`MTFCC` has 1341 (2.2%) missing values	Missing
`FUNCSTAT` has 1341 (2.2%) missing values	Missing
`ALAND` has 1341 (2.2%) missing values	Missing
`AWATER` has 1341 (2.2%) missing values	Missing
`INTPTLAT` has 1341 (2.2%) missing values	Missing
`INTPTLON` has 1341 (2.2%) missing values	Missing
`OBJECTID_12` has 60236 (99.5%) missing values	Missing
`CFNAME` has 60236 (99.5%) missing values	Missing
`CFTYPE` has 60236 (99.5%) missing values	Missing
`CFSUBTYPE` has 60236 (99.5%) missing values	Missing
`ADDRESS` has 60236 (99.5%) missing values	Missing
`GNISCODE` has 60236 (99.5%) missing values	Missing
`COMMENT` has 60236 (99.5%) missing values	Missing
`SOURCE` has 60236 (99.5%) missing values	Missing
`Jurisdicti` has 60236 (99.5%) missing values	Missing
`Community` has 60236 (99.5%) missing values	Missing
`landuse_name` has 1551 (2.6%) missing values	Missing
`landuse_sub_name` has 1551 (2.6%) missing values	Missing
`landuse_major_name` has 1551 (2.6%) missing values	Missing
`motel` has 53642 (88.6%) missing values	Missing
`primary_combined` has 1045 (1.7%) missing values	Missing
`incident_date_y` has 1490 (2.5%) missing values	Missing
`death_street` has 1867 (3.1%) missing values	Missing
`death_city` has 2173 (3.6%) missing values	Missing
`death_county` has 27597 (45.6%) missing values	Missing
`death_state` has 2362 (3.9%) missing values	Missing
`death_zip` has 3285 (5.4%) missing values	Missing
`death_location` has 24546 (40.5%) missing values	Missing
`death_location_1` has 6950 (11.5%) missing values	Missing
`record_id` has 34187 (56.5%) missing values	Missing
`ALAND` is highly skewed (γ1 = 26.68689517)	Skewed
`AWATER` is highly skewed (γ1 = 38.48057344)	Skewed
`casenumber` is uniformly distributed	Uniform
`incident_date_x` is uniformly distributed	Uniform
`death_datetime` is uniformly distributed	Uniform
`incident_date_y` is uniformly distributed	Uniform
`death_date_y` is uniformly distributed	Uniform
`record_id` is uniformly distributed	Uniform
`casenumber` has unique values	Unique
`age` has 633 (1.0%) zeros	Zeros
`distance_between_points` has 765 (1.3%) zeros	Zeros
`AWATER` has 46101 (76.2%) zeros	Zeros

Reproduction

Analysis started	2022-01-11 15:43:18.953307
Analysis finished	2022-01-11 15:46:42.697812
Duration	3 minutes and 23.74 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

casenumber
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	60537
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	4.0 MiB

ME2021-11723	1
ME2017-06013	1
ME2017-06025	1
ME2017-06024	1
ME2017-06023	1
Other values (60532)	60532

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	60537 ?
Unique (%)	100.0%

Sample

1st row	ME2021-11723
2nd row	ME2021-11722
3rd row	ME2021-11721
4th row	ME2021-11720
5th row	ME2021-11719

Common Values

Value	Count	Frequency (%)
ME2021-11723	1	< 0.1%
ME2017-06013	1	< 0.1%
ME2017-06025	1	< 0.1%
ME2017-06024	1	< 0.1%
ME2017-06023	1	< 0.1%
ME2017-06022	1	< 0.1%
ME2017-06021	1	< 0.1%
ME2017-06020	1	< 0.1%
ME2017-06019	1	< 0.1%
ME2017-06018	1	< 0.1%
Other values (60527)	60527	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
me2021-11723	1	< 0.1%
me2021-11711	1	< 0.1%
me2021-11695	1	< 0.1%
me2021-11696	1	< 0.1%
me2021-11721	1	< 0.1%
me2021-11720	1	< 0.1%
me2021-11719	1	< 0.1%
me2021-11718	1	< 0.1%
me2021-11717	1	< 0.1%
me2021-11716	1	< 0.1%
Other values (60527)	60527	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

incident_date_x
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	52231
Distinct (%)	88.4%
Missing	1431
Missing (%)	2.4%
Memory size	4.6 MiB

2020-04-16T00:00:00.000	34
2020-05-04T00:00:00.000	34
2020-04-29T00:00:00.000	33
2020-04-20T00:00:00.000	32
2020-04-24T00:00:00.000	32
Other values (52226)	58941

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	49331 ?
Unique (%)	83.5%

Sample

1st row	2021-12-13T16:00:00.000
2nd row	2021-12-15T02:55:00.000
3rd row	2021-12-07T09:38:00.000
4th row	2021-12-14T20:00:00.000
5th row	2021-12-15T00:01:00.000

Common Values

Value	Count	Frequency (%)
2020-04-16T00:00:00.000	34	0.1%
2020-05-04T00:00:00.000	34	0.1%
2020-04-29T00:00:00.000	33	0.1%
2020-04-20T00:00:00.000	32	0.1%
2020-04-24T00:00:00.000	32	0.1%
2020-05-05T00:00:00.000	32	0.1%
2020-04-19T00:00:00.000	32	0.1%
2020-04-23T00:00:00.000	30	< 0.1%
2020-12-14T00:00:00.000	29	< 0.1%
2020-04-28T00:00:00.000	28	< 0.1%
Other values (52221)	58790	97.1%
(Missing)	1431	2.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-04-16t00:00:00.000	34	0.1%
2020-05-04t00:00:00.000	34	0.1%
2020-04-29t00:00:00.000	33	0.1%
2020-04-20t00:00:00.000	32	0.1%
2020-04-24t00:00:00.000	32	0.1%
2020-05-05t00:00:00.000	32	0.1%
2020-04-19t00:00:00.000	32	0.1%
2020-04-23t00:00:00.000	30	0.1%
2020-12-14t00:00:00.000	29	< 0.1%
2020-04-28t00:00:00.000	28	< 0.1%
Other values (52221)	58790	99.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

death_date_x
Categorical

HIGH CARDINALITY

Distinct	2699
Distinct (%)	4.5%
Missing	59
Missing (%)	0.1%
Memory size	3.9 MiB

2020-05-07	111
2020-05-03	109
2020-05-04	108
2020-05-09	108
2020-05-02	106
Other values (2694)	59936

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	< 0.1%

Sample

1st row	2021-12-14
2nd row	2021-12-15
3rd row	2021-12-15
4th row	2021-12-15
5th row	2021-12-15

Common Values

Value	Count	Frequency (%)
2020-05-07	111	0.2%
2020-05-03	109	0.2%
2020-05-04	108	0.2%
2020-05-09	108	0.2%
2020-05-02	106	0.2%
2020-05-14	105	0.2%
2020-05-05	103	0.2%
2020-05-15	102	0.2%
2020-04-28	101	0.2%
2020-04-24	99	0.2%
Other values (2689)	59426	98.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-05-07	111	0.2%
2020-05-03	109	0.2%
2020-05-04	108	0.2%
2020-05-09	108	0.2%
2020-05-02	106	0.2%
2020-05-14	105	0.2%
2020-05-05	103	0.2%
2020-05-15	102	0.2%
2020-04-28	101	0.2%
2020-04-24	99	0.2%
Other values (2689)	59426	98.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

age
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	110
Distinct (%)	0.2%
Missing	346
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	55.80367497

Minimum	0
Maximum	109
Zeros	633
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	0
5-th percentile	20
Q1	40
median	58
Q3	71
95-th percentile	90
Maximum	109
Range	109
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	21.4586312
Coefficient of variation (CV)	0.3845379577
Kurtosis	-0.5373261154
Mean	55.80367497
Median Absolute Deviation (MAD)	15
Skewness	-0.2299097828
Sum	3358879
Variance	460.4728531
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58	1290	2.1%
59	1255	2.1%
62	1208	2.0%
60	1207	2.0%
61	1197	2.0%
57	1182	2.0%
64	1181	2.0%
56	1166	1.9%
63	1157	1.9%
54	1103	1.8%
Other values (100)	48245	79.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	633	1.0%
1	71	0.1%
2	62	0.1%
3	38	0.1%
4	27	< 0.1%
5	34	0.1%
6	18	< 0.1%
7	17	< 0.1%
8	20	< 0.1%
9	22	< 0.1%

Value	Count	Frequency (%)
109	1	< 0.1%
108	1	< 0.1%
107	1	< 0.1%
106	4	< 0.1%
105	5	< 0.1%
104	3	< 0.1%
103	26	< 0.1%
102	15	< 0.1%
101	43	0.1%
100	63	0.1%

gender
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	237
Missing (%)	0.4%
Memory size	3.6 MiB

Male	41830
Female	18444
Unknown	26

Length

Max length	7
Median length	4
Mean length	4.613034826
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Female
4th row	Female
5th row	Female

Common Values

Value	Count	Frequency (%)
Male	41830	69.1%
Female	18444	30.5%
Unknown	26	< 0.1%
(Missing)	237	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
male	41830	69.4%
female	18444	30.6%
unknown	26	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

race
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	359
Missing (%)	0.6%
Memory size	3.6 MiB

White	33131
Black	24605
Asian	1363
Other	825
Unknown	209

Length

Max length	10
Median length	5
Mean length	5.010684968
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	White
2nd row	Black
3rd row	White
4th row	White
5th row	Black

Common Values

Value	Count	Frequency (%)
White	33131	54.7%
Black	24605	40.6%
Asian	1363	2.3%
Other	825	1.4%
Unknown	209	0.3%
Am. Indian	45	0.1%
(Missing)	359	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
white	33131	55.0%
black	24605	40.9%
asian	1363	2.3%
other	825	1.4%
unknown	209	0.3%
am	45	0.1%
indian	45	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

latino
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

0	52832
1	7705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	52832	87.3%
1	7705	12.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	52832	87.3%
1	7705	12.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

cold_related
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

0	60164
1	373

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	60164	99.4%
1	373	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	60164	99.4%
1	373	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

heat_related
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

0	60510
1	27

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	60510	> 99.9%
1	27	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	60510	> 99.9%
1	27	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

commissioner_district
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	17
Distinct (%)	< 0.1%
Missing	7584
Missing (%)	12.5%
Infinite	0
Infinite (%)	0.0%
Mean	7.485864824

Minimum	1
Maximum	17
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	7
Q3	11
95-th percentile	16
Maximum	17
Range	16
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	4.965155953
Coefficient of variation (CV)	0.6632708539
Kurtosis	-1.095970709
Mean	7.485864824
Median Absolute Deviation (MAD)	4
Skewness	0.3894255968
Sum	396399
Variance	24.65277364
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
2	5872	9.7%
1	5156	8.5%
3	4372	7.2%
5	4039	6.7%
4	4005	6.6%
11	2925	4.8%
10	2903	4.8%
7	2736	4.5%
8	2705	4.5%
6	2626	4.3%
Other values (7)	15614	25.8%
(Missing)	7584	12.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	5156	8.5%
2	5872	9.7%
3	4372	7.2%
4	4005	6.6%
5	4039	6.7%
6	2626	4.3%
7	2736	4.5%
8	2705	4.5%
9	2491	4.1%
10	2903	4.8%

Value	Count	Frequency (%)
17	2332	3.9%
16	2390	3.9%
15	1720	2.8%
14	1844	3.0%
13	2452	4.1%
12	2385	3.9%
11	2925	4.8%
10	2903	4.8%
9	2491	4.1%
8	2705	4.5%

residence_city
Categorical

HIGH CARDINALITY
MISSING

Distinct	1124
Distinct (%)	1.9%
Missing	1730
Missing (%)	2.9%
Memory size	3.7 MiB

Chicago	32884
Des Plaines	805
Oak Lawn	681
Cicero	675
Arlington Heights	543
Other values (1119)	23219

Length

Max length	22
Median length	7
Mean length	8.174418011
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	591 ?
Unique (%)	1.0%

Sample

1st row	Chicago
2nd row	Chicago
3rd row	Chicago
4th row	Chicago Ridge
5th row	Chicago

Common Values

Value	Count	Frequency (%)
Chicago	32884	54.3%
Des Plaines	805	1.3%
Oak Lawn	681	1.1%
Cicero	675	1.1%
Arlington Heights	543	0.9%
Berwyn	529	0.9%
Evanston	506	0.8%
Skokie	459	0.8%
Niles	455	0.8%
Orland Park	453	0.7%
Other values (1114)	20817	34.4%
(Missing)	1730	2.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chicago	33701	47.4%
park	3669	5.2%
heights	1413	2.0%
oak	1278	1.8%
des	810	1.1%
plaines	805	1.1%
grove	764	1.1%
forest	712	1.0%
lawn	682	1.0%
cicero	676	1.0%
Other values (1064)	26616	37.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

residence_zip
Real number (ℝ_≥0)

MISSING

Distinct	1550
Distinct (%)	2.6%
Missing	1636
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	60163.08489

Minimum	0
Maximum	99999
Zeros	6
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	0
5-th percentile	60016
Q1	60425
median	60618
Q3	60637
95-th percentile	60707
Maximum	99999
Range	99999
Interquartile range (IQR)	212

Descriptive statistics

Standard deviation	3821.30714
Coefficient of variation (CV)	0.06351581119
Kurtosis	96.64912257
Mean	60163.08489
Median Absolute Deviation (MAD)	33
Skewness	-6.006921363
Sum	3543665863
Variance	14602388.26
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60628	1520	2.5%
60623	1390	2.3%
60620	1341	2.2%
60619	1286	2.1%
60629	1258	2.1%
60644	1226	2.0%
60617	1212	2.0%
60624	1070	1.8%
60651	1065	1.8%
60649	1023	1.7%
Other values (1540)	46510	76.8%
(Missing)	1636	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6	< 0.1%
627	1	< 0.1%
739	1	< 0.1%
901	1	< 0.1%
976	1	< 0.1%
979	1	< 0.1%
1109	1	< 0.1%
1331	1	< 0.1%
1602	1	< 0.1%
1610	1	< 0.1%

Value	Count	Frequency (%)
99999	2	< 0.1%
99515	1	< 0.1%
99240	1	< 0.1%
98662	1	< 0.1%
98312	1	< 0.1%
98122	1	< 0.1%
98118	1	< 0.1%
98112	1	< 0.1%
98077	1	< 0.1%
98036	1	< 0.1%

manner
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	510
Missing (%)	0.8%
Memory size	3.7 MiB

NATURAL	30392
ACCIDENT	18165
HOMICIDE	6067
SUICIDE	3446
UNDETERMINED	1035

Length

Max length	12
Median length	7
Mean length	7.489896213
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NATURAL
2nd row	PENDING
3rd row	NATURAL
4th row	NATURAL
5th row	ACCIDENT

Common Values

Value	Count	Frequency (%)
NATURAL	30392	50.2%
ACCIDENT	18165	30.0%
HOMICIDE	6067	10.0%
SUICIDE	3446	5.7%
UNDETERMINED	1035	1.7%
PENDING	922	1.5%
(Missing)	510	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
natural	30392	50.6%
accident	18165	30.3%
homicide	6067	10.1%
suicide	3446	5.7%
undetermined	1035	1.7%
pending	922	1.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

primarycause
Categorical

HIGH CARDINALITY
MISSING

Distinct	8798
Distinct (%)	14.8%
Missing	1045
Missing (%)	1.7%
Memory size	5.1 MiB

ORGANIC CARDIOVASCULAR DISEASE	5469
PNEUMONIA	4114
MULTIPLE GUNSHOT WOUNDS	3059
HYPERTENSIVE CARDIOVASCULAR DISEASE	2535
MULTIPLE INJURIES	1991
Other values (8793)	42324

Length

Max length	191
Median length	30
Mean length	32.62284005
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6908 ?
Unique (%)	11.6%

Sample

1st row	ATHEROSCLEROTIC CARDIOVASCULAR DISEASE
2nd row	ORGANIC CARDIOVASCULAR DISEASE
3rd row	ORGANIC CARDIOVASCULAR DISEASE
4th row	MULTIPLE INJURIES
5th row	MULTIPLE BLUNT FORCE INJURIES

Common Values

Value	Count	Frequency (%)
ORGANIC CARDIOVASCULAR DISEASE	5469	9.0%
PNEUMONIA	4114	6.8%
MULTIPLE GUNSHOT WOUNDS	3059	5.1%
HYPERTENSIVE CARDIOVASCULAR DISEASE	2535	4.2%
MULTIPLE INJURIES	1991	3.3%
NOVEL CORONA (COVID-19) VIRAL INFECTION	1905	3.1%
ACUTE HYPOXIC RESPIRATORY FAILURE	1447	2.4%
HYPERTENSIVE ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE	1393	2.3%
ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE	1183	2.0%
GUNSHOT WOUND OF HEAD	879	1.5%
Other values (8788)	35517	58.7%
(Missing)	1045	1.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
disease	13935	6.3%
cardiovascular	13329	6.0%
fentanyl	9303	4.2%
and	9050	4.1%
toxicity	8938	4.0%
of	8582	3.9%
multiple	6860	3.1%
gunshot	6353	2.9%
organic	6103	2.8%
combined	5827	2.6%
Other values (2032)	133347	60.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

gunrelated
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1432
Missing (%)	2.4%
Memory size	3.4 MiB

0.0	52635
1.0	6470

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	52635	86.9%
1.0	6470	10.7%
(Missing)	1432	2.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	52635	89.1%
1.0	6470	10.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

opioids
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1432
Missing (%)	2.4%
Memory size	3.4 MiB

0.0	50172
1.0	8933

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	50172	82.9%
1.0	8933	14.8%
(Missing)	1432	2.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	50172	84.9%
1.0	8933	15.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

secondarycause
Categorical

HIGH CARDINALITY
MISSING

Distinct	9266
Distinct (%)	39.1%
Missing	36843
Missing (%)	60.9%
Memory size	3.5 MiB

DIABETES MELLITUS	1522
OBESITY	1296
HYPERTENSION	898
CHRONIC ETHANOLISM	640
HYPERTENSIVE CARDIOVASCULAR DISEASE	626
Other values (9261)	18712

Length

Max length	247
Median length	37
Mean length	45.92909597
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8025 ?
Unique (%)	33.9%

Sample

1st row	OBESITY
2nd row	HYPERTENSION, DIABETES MELLITUS
3rd row	HYPERTENSION
4th row	HYPERTENSION, CORONARY ARTERY DISEASE, DIABETES MELLITUS, CHRONIC KIDNEY DISEASE, ASTHMA, ATRIAL FIBRILLATION
5th row	CORONARY ARTERY DISEASE, HYPERTENSION, HEPATIC STEATOSIS

Common Values

Value	Count	Frequency (%)
DIABETES MELLITUS	1522	2.5%
OBESITY	1296	2.1%
HYPERTENSION	898	1.5%
CHRONIC ETHANOLISM	640	1.1%
HYPERTENSIVE CARDIOVASCULAR DISEASE	626	1.0%
HYPERTENSION, DIABETES MELLITUS	416	0.7%
CHRONIC OBSTRUCTIVE PULMONARY DISEASE	360	0.6%
HYPERTENSIVE ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE	322	0.5%
DIABETES MELLITUS, HYPERTENSION	221	0.4%
MORBID OBESITY	200	0.3%
Other values (9256)	17193	28.4%
(Missing)	36843	60.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
disease	12342	10.7%
diabetes	8148	7.0%
mellitus	7771	6.7%
hypertension	7659	6.6%
chronic	6766	5.8%
cardiovascular	4571	3.9%
hypertensive	3887	3.4%
obesity	3690	3.2%
pulmonary	2918	2.5%
obstructive	2844	2.5%
Other values (2130)	55141	47.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

primarycause_linea
Categorical

HIGH CARDINALITY
MISSING

Distinct	2526
Distinct (%)	13.1%
Missing	41285
Missing (%)	68.2%
Memory size	2.8 MiB

NOVEL CORONA (COVID-19) VIRAL INFECTION	4772
NOVEL CORONA (COVID-19) VIRUS INFECTION	1805
FALL	1667
PNEUMONIA	1647
MOTOR VEHICLE COLLISION	639
Other values (2521)	8722

Length

Max length	174
Median length	32
Mean length	27.03724288
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1975 ?
Unique (%)	10.3%

Sample

1st row	SPORTS UTILITY VEHICLE STRIKING PEDESTRIAN
2nd row	MOTOR VEHICLE COLLISION
3rd row	FALL
4th row	NOVEL CORONA (COVID-19) VIRAL INFECTION
5th row	NOVEL CORONA (COVID-19) VIRAL INFECTION

Common Values

Value	Count	Frequency (%)
NOVEL CORONA (COVID-19) VIRAL INFECTION	4772	7.9%
NOVEL CORONA (COVID-19) VIRUS INFECTION	1805	3.0%
FALL	1667	2.8%
PNEUMONIA	1647	2.7%
MOTOR VEHICLE COLLISION	639	1.1%
HANGING	397	0.7%
MOTOR VEHICLE STRIKING PEDESTRIAN	362	0.6%
FALL FROM HEIGHT	233	0.4%
FALL DOWN STAIRS	205	0.3%
MOTOR VEHICLE STRIKING FIXED OBJECT	191	0.3%
Other values (2516)	7334	12.1%
(Missing)	41285	68.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
covid-19	6825	10.0%
novel	6824	10.0%
corona	6813	10.0%
infection	6698	9.8%
viral	4978	7.3%
fall	2926	4.3%
vehicle	2165	3.2%
motor	2024	3.0%
pneumonia	1926	2.8%
virus	1870	2.7%
Other values (1519)	25218	36.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

primarycause_lineb
Categorical

HIGH CARDINALITY
MISSING

Distinct	377
Distinct (%)	15.4%
Missing	58090
Missing (%)	96.0%
Memory size	2.0 MiB

NOVEL CORONA (COVID-19) VIRAL INFECTION	1356
NOVEL CORONA (COVID-19) VIRUS INFECTION	343
HYPERTENSIVE CARDIOVASCULAR DISEASE	70
HOUSE FIRE	46
.	36
Other values (372)	596

Length

Max length	82
Median length	39
Mean length	36.00040866
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	305 ?
Unique (%)	12.5%

Sample

1st row	NOVEL CORONA (COVID-19) VIRAL INFECTION
2nd row	NOVEL CORONA (COVID-19) VIRAL INFECTION
3rd row	NOVEL CORONA (COVID-19) VIRAL INFECTION
4th row	NOVEL CORONA (COVID-19) VIRAL INFECTION
5th row	NOVEL CORONA (COVID-19) VIRAL INFECTION

Common Values

Value	Count	Frequency (%)
NOVEL CORONA (COVID-19) VIRAL INFECTION	1356	2.2%
NOVEL CORONA (COVID-19) VIRUS INFECTION	343	0.6%
HYPERTENSIVE CARDIOVASCULAR DISEASE	70	0.1%
HOUSE FIRE	46	0.1%
.	36	0.1%
HYPERTENSIVE AND ATHEROSCLEROTIC CARDIOVASCULAR DISEASE	31	0.1%
FALL	23	< 0.1%
CARELESS USE OF SMOKING MATERIALS	16	< 0.1%
CHRONIC ETHANOLISM	16	< 0.1%
APARTMENT FIRE	13	< 0.1%
Other values (367)	497	0.8%
(Missing)	58090	96.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
novel	1725	15.2%
covid-19	1724	15.2%
infection	1723	15.2%
corona	1718	15.2%
viral	1365	12.0%
virus	357	3.2%
disease	159	1.4%
cardiovascular	132	1.2%
hypertensive	123	1.1%
to	84	0.7%
Other values (496)	2221	19.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

primarycause_linec
Categorical

HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	10.1%
Missing	60468
Missing (%)	99.9%
Memory size	1.8 MiB

.	62
END STAGE RENAL DISEASE	2
HYPERTENSION, DIABETES MELLITUS, AND CORONARY ARTERY DISEASE	1
HEPATITIS C	1
HYPERTENSIVE CARDIOVASCULAR DISEASE	1
Other values (2)	2

Length

Max length	60
Median length	1
Mean length	3.405797101
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	7.2%

Sample

1st row	.
2nd row	HYPERTENSION, DIABETES MELLITUS, AND CORONARY ARTERY DISEASE
3rd row	.
4th row	.
5th row	.

Common Values

Value	Count	Frequency (%)
.	62	0.1%
END STAGE RENAL DISEASE	2	< 0.1%
HYPERTENSION, DIABETES MELLITUS, AND CORONARY ARTERY DISEASE	1	< 0.1%
HEPATITIS C	1	< 0.1%
HYPERTENSIVE CARDIOVASCULAR DISEASE	1	< 0.1%
..	1	< 0.1%
HIGH BLOOD PRESSURE	1	< 0.1%
(Missing)	60468	99.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
	63	73.3%
disease	4	4.7%
stage	2	2.3%
renal	2	2.3%
end	2	2.3%
hepatitis	1	1.2%
blood	1	1.2%
high	1	1.2%
cardiovascular	1	1.2%
hypertensive	1	1.2%
Other values (8)	8	9.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

geocoded_score
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	1387
Distinct (%)	21.3%
Missing	54025
Missing (%)	89.2%
Infinite	0
Infinite (%)	0.0%
Mean	93.86565264

Minimum	70
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	70
5-th percentile	77
Q1	90
median	97.3
Q3	100
95-th percentile	100
Maximum	100
Range	30
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	7.621782614
Coefficient of variation (CV)	0.08119884536
Kurtosis	0.2186480964
Mean	93.86565264
Median Absolute Deviation (MAD)	2.7
Skewness	-1.194861257
Sum	611253.13
Variance	58.09157021
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	2098	3.5%
77	261	0.4%
98.53	114	0.2%
99.43	75	0.1%
98.51	62	0.1%
80	47	0.1%
98.9	40	0.1%
99.5	38	0.1%
99.39	31	0.1%
98.57	29	< 0.1%
Other values (1377)	3717	6.1%
(Missing)	54025	89.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
70	6	< 0.1%
70.07	2	< 0.1%
70.18	1	< 0.1%
70.22	2	< 0.1%
70.36	1	< 0.1%
70.66	1	< 0.1%
70.67	1	< 0.1%
70.91	2	< 0.1%
71.05	2	< 0.1%
71.19	1	< 0.1%

Value	Count	Frequency (%)
100	2098	3.5%
99.99	14	< 0.1%
99.95	1	< 0.1%
99.92	1	< 0.1%
99.91	1	< 0.1%
99.9	5	< 0.1%
99.86	4	< 0.1%
99.75	2	< 0.1%
99.72	1	< 0.1%
99.69	3	< 0.1%

geocoded_address
Categorical

HIGH CARDINALITY
MISSING

Distinct	5226
Distinct (%)	75.8%
Missing	53642
Missing (%)	88.6%
Memory size	2.3 MiB

UNKNOWN	154
60666, Chicago, Illinois	46
10000 W Ohare Ave, Chicago, Illinois, 60666	36
Chicago, Illinois	28
60612, Chicago, Illinois	25
Other values (5221)	6606

Length

Max length	76
Median length	42
Mean length	38.58781726
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4661 ?
Unique (%)	67.6%

Sample

1st row	Tri State Toll Rd, Hinsdale, Illinois, 60521
2nd row	W Belle Plaine Ave & N Lawndale Ave, Chicago, Illinois, 60618
3rd row	S Anna Marie Dr, Mount Prospect, Illinois, 60056
4th row	Plymouth Place
5th row	3156 N Olcott Ave, Elmwood Park, Illinois, 60707

Common Values

Value	Count	Frequency (%)
UNKNOWN	154	0.3%
60666, Chicago, Illinois	46	0.1%
10000 W Ohare Ave, Chicago, Illinois, 60666	36	0.1%
Chicago, Illinois	28	< 0.1%
60612, Chicago, Illinois	25	< 0.1%
Gary, Indiana	23	< 0.1%
60617, Chicago, Illinois	20	< 0.1%
1666 Checker Rd, Lake Zurich, Illinois, 60047	17	< 0.1%
800 S River Rd, Des Plaines, Illinois, 60016	16	< 0.1%
2308 Old Hicks Rd, Lake Zurich, Illinois, 60047	16	< 0.1%
Other values (5216)	6514	10.8%
(Missing)	53642	88.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
illinois	5989	14.3%
chicago	2317	5.5%
ave	1733	4.1%
s	1267	3.0%
st	1141	2.7%
w	1103	2.6%
rd	904	2.2%
dr	704	1.7%
n	657	1.6%
park	579	1.4%
Other values (5235)	25588	60.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

full_address
Categorical

HIGH CARDINALITY
MISSING

Distinct	6311
Distinct (%)	91.5%
Missing	53642
Missing (%)	88.6%
Memory size	2.2 MiB

UNKNOWN	154
CHICAGO	28
CHICAGO 60612	16
CHICAGO 60608	10
10000 w ohare ave CHICAGO 60666	9
Other values (6306)	6678

Length

Max length	73
Median length	35
Mean length	35.67585207
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6102 ?
Unique (%)	88.5%

Sample

1st row	5800 tri state toll rd 5801 HINSDALE 60521
2nd row	belle plaine and lawndale avenues CHICAGO 60618
3rd row	1528 s anna marie dr MOUNT PROSPECT 60056
4th row	plymouth place 315 n la grange rd LA GRANGE PARK 60526
5th row	3156 n olcott ELMWOOD PARK 60707

Common Values

Value	Count	Frequency (%)
UNKNOWN	154	0.3%
CHICAGO	28	< 0.1%
CHICAGO 60612	16	< 0.1%
CHICAGO 60608	10	< 0.1%
10000 w ohare ave CHICAGO 60666	9	< 0.1%
UNKNOWN 00000	9	< 0.1%
CHICAGO 60617	9	< 0.1%
CHICAGO 60623	7	< 0.1%
CHICAGO 60637	7	< 0.1%
HARVEY 60426	7	< 0.1%
Other values (6301)	6639	11.0%
(Missing)	53642	88.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chicago	2402	5.8%
s	913	2.2%
avenue	732	1.8%
w	721	1.7%
street	687	1.7%
park	602	1.4%
ave	596	1.4%
road	551	1.3%
drive	511	1.2%
south	500	1.2%
Other values (7211)	33341	80.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

recovered
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

0	54025
1	6512

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	54025	89.2%
1	6512	10.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	54025	89.2%
1	6512	10.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

final_latitude
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	47764
Distinct (%)	80.3%
Missing	1063
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	41.83959272

Minimum	36.99654
Maximum	42.56886002
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	36.99654
5-th percentile	41.57924343
Q1	41.74859839
median	41.85946137
Q3	41.94565825
95-th percentile	42.06800081
Maximum	42.56886002
Range	5.57232002
Interquartile range (IQR)	0.1970598625

Descriptive statistics

Standard deviation	0.1816325608
Coefficient of variation (CV)	0.004341164647
Kurtosis	121.4244961
Mean	41.83959272
Median Absolute Deviation (MAD)	0.101682715
Skewness	-6.017611364
Sum	2488367.937
Variance	0.03299038712
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41.95745161	58	0.1%
41.75921855	51	0.1%
41.9975747	46	0.1%
42.0020933	44	0.1%
42.05791431	43	0.1%
41.86423432	40	0.1%
41.99981426	40	0.1%
41.6760787	39	0.1%
41.88096475	38	0.1%
41.97380438	37	0.1%
Other values (47754)	59038	97.5%
(Missing)	1063	1.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
36.99654	2	< 0.1%
37.11064	1	< 0.1%
37.11426505	1	< 0.1%
37.21747	1	< 0.1%
37.32473	1	< 0.1%
37.34513	1	< 0.1%
37.60057002	1	< 0.1%
37.63954	1	< 0.1%
37.6597065	1	< 0.1%
37.72357	1	< 0.1%

Value	Count	Frequency (%)
42.56886002	1	< 0.1%
42.56472099	1	< 0.1%
42.55424118	1	< 0.1%
42.51687298	1	< 0.1%
42.51281798	1	< 0.1%
42.5006014	1	< 0.1%
42.48915428	1	< 0.1%
42.48497733	1	< 0.1%
42.47879	1	< 0.1%
42.47714406	1	< 0.1%

final_longitude
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	47753
Distinct (%)	80.3%
Missing	1063
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	-87.73878973

Minimum	-91.57094725
Maximum	-87.38005298
Zeros	0
Zeros (%)	0.0%
Negative	59474
Negative (%)	98.2%
Memory size	473.1 KiB

Quantile statistics

Minimum	-91.57094725
5-th percentile	-88.00814461
Q1	-87.78990185
median	-87.70966626
Q3	-87.64976182
95-th percentile	-87.57826764
Maximum	-87.38005298
Range	4.19089427
Interquartile range (IQR)	0.140140035

Descriptive statistics

Standard deviation	0.1593166648
Coefficient of variation (CV)	-0.001815806501
Kurtosis	96.98684359
Mean	-87.73878973
Median Absolute Deviation (MAD)	0.066535465
Skewness	-6.164016171
Sum	-5218176.78
Variance	0.02538179968
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-87.80313218	58	0.1%
-87.55974875	51	0.1%
-87.8876464	46	0.1%
-87.79168798	44	0.1%
-87.83913172	42	0.1%
-88.05708848	40	0.1%
-87.82576007	40	0.1%
-87.81209152	39	0.1%
-87.66822478	38	0.1%
-87.72778219	37	0.1%
Other values (47743)	59039	97.5%
(Missing)	1063	1.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-91.57094725	1	< 0.1%
-91.53805	4	< 0.1%
-91.53759	1	< 0.1%
-91.25604491	1	< 0.1%
-91.12057	1	< 0.1%
-91.1168899	1	< 0.1%
-91.01471	2	< 0.1%
-90.87017822	1	< 0.1%
-90.75658993	1	< 0.1%
-90.72185	1	< 0.1%

Value	Count	Frequency (%)
-87.38005298	1	< 0.1%
-87.38036495	3	< 0.1%
-87.38050497	1	< 0.1%
-87.3813349	1	< 0.1%
-87.38180492	1	< 0.1%
-87.3821249	1	< 0.1%
-87.38215998	1	< 0.1%
-87.38217403	2	< 0.1%
-87.38225058	1	< 0.1%
-87.38296244	1	< 0.1%

distance_between_points
Real number (ℝ)

ZEROS

Distinct	23646
Distinct (%)	39.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4785.448391

Minimum	-1
Maximum	10145.3359
Zeros	765
Zeros (%)	1.3%
Negative	30269
Negative (%)	50.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	-1
Q3	9817.621112
95-th percentile	9833.256104
Maximum	10145.3359
Range	10146.3359
Interquartile range (IQR)	9818.621112

Descriptive statistics

Standard deviation	4909.09288
Coefficient of variation (CV)	1.025837597
Kurtosis	-1.997491174
Mean	4785.448391
Median Absolute Deviation (MAD)	0
Skewness	0.05060819996
Sum	289696689.3
Variance	24099192.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	30269	50.0%
0	765	1.3%
9825.433402	55	0.1%
9804.690026	43	0.1%
9824.615433	38	0.1%
9828.691048	38	0.1%
9846.532538	36	0.1%
9820.736819	36	0.1%
9819.253419	35	0.1%
9822.690104	34	0.1%
Other values (23636)	29188	48.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	30269	50.0%
0	765	1.3%
9785.958234	1	< 0.1%
9788.846217	1	< 0.1%
9789.003974	1	< 0.1%
9789.02726	1	< 0.1%
9789.198809	1	< 0.1%
9789.409118	6	< 0.1%
9789.496118	1	< 0.1%
9789.545693	1	< 0.1%

Value	Count	Frequency (%)
10145.3359	1	< 0.1%
10138.69128	1	< 0.1%
10103.59917	1	< 0.1%
10067.21533	1	< 0.1%
10062.83857	1	< 0.1%
10054.65696	1	< 0.1%
10054.11412	1	< 0.1%
10053.02455	1	< 0.1%
10049.70754	1	< 0.1%
10044.0741	1	< 0.1%

closest_pharmacy
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4943
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8747.852363

Minimum	0
Maximum	9801.384878
Zeros	57
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0.678895464
Q1	9801.384878
median	9801.384878
Q3	9801.384878
95-th percentile	9801.384878
Maximum	9801.384878
Range	9801.384878
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3034.553886
Coefficient of variation (CV)	0.3468913009
Kurtosis	4.417708146
Mean	8747.852363
Median Absolute Deviation (MAD)	0
Skewness	-2.533263203
Sum	529568738.5
Variance	9208517.289
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9801.384878	54025	89.2%
0	57	0.1%
1.445420229	46	0.1%
2.431685196	36	0.1%
0.078949329	28	< 0.1%
0.298144329	25	< 0.1%
10.33200902	23	< 0.1%
0.678260273	20	< 0.1%
0.465061367	17	< 0.1%
1.052744249	17	< 0.1%
Other values (4933)	6243	10.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	57	0.1%
9.49307 × 10^-5	7	< 0.1%
0.005721103	3	< 0.1%
0.009238082	1	< 0.1%
0.009725189	1	< 0.1%
0.015501639	1	< 0.1%
0.019537058	1	< 0.1%
0.019708132	1	< 0.1%
0.019850059	5	< 0.1%
0.020580054	1	< 0.1%

Value	Count	Frequency (%)
9801.384878	54025	89.2%
572.6014924	2	< 0.1%
519.9382538	1	< 0.1%
502.2464214	1	< 0.1%
501.6294202	1	< 0.1%
490.8516611	1	< 0.1%
478.2863837	1	< 0.1%
477.6683519	1	< 0.1%
469.1629688	1	< 0.1%
461.3547859	1	< 0.1%

FIRST_COUNTY
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	1551
Missing (%)	2.6%
Infinite	0
Infinite (%)	0.0%
Mean	32.96917913

Minimum	31
Maximum	197
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	31
5-th percentile	31
Q1	31
median	31
Q3	31
95-th percentile	31
Maximum	197
Range	166
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	15.5587956
Coefficient of variation (CV)	0.4719194111
Kurtosis	90.52878275
Mean	32.96917913
Median Absolute Deviation (MAD)	0
Skewness	9.282568302
Sum	1944720
Variance	242.0761205
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
31	57458	94.9%
43	508	0.8%
197	433	0.7%
97	367	0.6%
89	150	0.2%
111	51	0.1%
93	19	< 0.1%
(Missing)	1551	2.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
31	57458	94.9%
43	508	0.8%
89	150	0.2%
93	19	< 0.1%
97	367	0.6%
111	51	0.1%
197	433	0.7%

Value	Count	Frequency (%)
197	433	0.7%
111	51	0.1%
97	367	0.6%
93	19	< 0.1%
89	150	0.2%
43	508	0.8%
31	57458	94.9%

LANDUSE
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	54
Distinct (%)	0.1%
Missing	1551
Missing (%)	2.6%
Infinite	0
Infinite (%)	0.0%
Mean	2464.537433

Minimum	1111
Maximum	9999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	1111
5-th percentile	1111
Q1	1111
median	1130
Q3	6000
95-th percentile	6000
Maximum	9999
Range	8888
Interquartile range (IQR)	4889

Descriptive statistics

Standard deviation	2138.37101
Coefficient of variation (CV)	0.8676561298
Kurtosis	-0.8954046743
Mean	2464.537433
Median Absolute Deviation (MAD)	19
Skewness	1.037615461
Sum	145373205
Variance	4572630.578
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1130	16666	27.5%
6000	15623	25.8%
1111	15089	24.9%
1310	3630	6.0%
1112	1485	2.5%
1215	1411	2.3%
1216	1303	2.2%
1250	681	1.1%
1140	316	0.5%
1220	307	0.5%
Other values (44)	2475	4.1%
(Missing)	1551	2.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1111	15089	24.9%
1112	1485	2.5%
1130	16666	27.5%
1140	316	0.5%
1151	54	0.1%
1211	18	< 0.1%
1212	90	0.1%
1214	35	0.1%
1215	1411	2.3%
1216	1303	2.2%

Value	Count	Frequency (%)
9999	8	< 0.1%
6000	15623	25.8%
5000	3	< 0.1%
4240	27	< 0.1%
4230	1	< 0.1%
4220	7	< 0.1%
4210	5	< 0.1%
4140	24	< 0.1%
4130	6	< 0.1%
4120	47	0.1%

LANDUSE2
Categorical

HIGH CORRELATION
MISSING

Distinct	11
Distinct (%)	< 0.1%
Missing	17174
Missing (%)	28.4%
Memory size	2.9 MiB

	43305
1350	16
1310	10
3200	7
1512	6
Other values (6)	19

Length

Max length	9
Median length	1
Mean length	1.00447386
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	43305	71.5%
1350	16	< 0.1%
1310	10	< 0.1%
3200	7	< 0.1%
1512	6	< 0.1%
1215	6	< 0.1%
1130	5	< 0.1%
1215;1250	4	< 0.1%
1511	2	< 0.1%
1240	1	< 0.1%
(Missing)	17174	28.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1350	16	27.6%
1310	10	17.2%
3200	7	12.1%
1512	6	10.3%
1215	6	10.3%
1130	5	8.6%
1215;1250	4	6.9%
1511	2	3.4%
1240	1	1.7%
2000	1	1.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

OS_MGMT
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.3%
Missing	59313
Missing (%)	98.0%
Memory size	1.9 MiB

	844
MUNI	283
CNTY	66
XXXX	31

Length

Max length	4
Median length	1
Mean length	1.931372549
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	844	1.4%
MUNI	283	0.5%
CNTY	66	0.1%
XXXX	31	0.1%
(Missing)	59313	98.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
muni	283	74.5%
cnty	66	17.4%
xxxx	31	8.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

FAC_NAME
Categorical

HIGH CORRELATION
MISSING

Distinct	33
Distinct (%)	17.6%
Missing	60349
Missing (%)	99.7%
Memory size	1.9 MiB

O'Hare International Airport	113
Midway International Airport	10
University of Illinois at Chicago	7
Loyola University Chicago	6
The University of Chicago	6
Other values (28)	46

Length

Max length	45
Median length	28
Mean length	26.74468085
Min length	14

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19 ?
Unique (%)	10.1%

Sample

1st row	The University of Chicago
2nd row	University of Illinois at Chicago
3rd row	Randhurst Village
4th row	The University of Chicago
5th row	Westfield Chicago Ridge

Common Values

Value	Count	Frequency (%)
O'Hare International Airport	113	0.2%
Midway International Airport	10	< 0.1%
University of Illinois at Chicago	7	< 0.1%
Loyola University Chicago	6	< 0.1%
The University of Chicago	6	< 0.1%
Northwestern University	6	< 0.1%
Woodfield Mall	4	< 0.1%
River Oaks Center	3	< 0.1%
Randhurst Village	3	< 0.1%
DePaul University	3	< 0.1%
Other values (23)	27	< 0.1%
(Missing)	60349	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
airport	123	21.1%
international	123	21.1%
o'hare	113	19.3%
university	34	5.8%
chicago	23	3.9%
of	15	2.6%
midway	10	1.7%
illinois	10	1.7%
college	8	1.4%
northwestern	7	1.2%
Other values (61)	118	20.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PLATTED
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.1%
Missing	58171
Missing (%)	96.1%
Memory size	1.9 MiB

	2358
O	7
C	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	2358	3.9%
O	7	< 0.1%
C	1	< 0.1%
(Missing)	58171	96.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
o	7	87.5%
c	1	12.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

MODIFIER
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.2%
Missing	58163
Missing (%)	96.1%
Memory size	1.9 MiB

	2315
M	54
T	3
S	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	2315	3.8%
M	54	0.1%
T	3	< 0.1%
S	2	< 0.1%
(Missing)	58163	96.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
m	54	91.5%
t	3	5.1%
s	2	3.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

STATEFP
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	1341
Missing (%)	2.2%
Memory size	3.5 MiB

17.0	59196

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	17.0
2nd row	17.0
3rd row	17.0
4th row	17.0
5th row	17.0

Common Values

Value	Count	Frequency (%)
17.0	59196	97.8%
(Missing)	1341	2.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
17.0	59196	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

COUNTYFP
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	56
Distinct (%)	0.1%
Missing	1341
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	33.20224339

Minimum	1
Maximum	201
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	1
5-th percentile	31
Q1	31
median	31
Q3	31
95-th percentile	31
Maximum	201
Range	200
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	16.27643347
Coefficient of variation (CV)	0.4902208948
Kurtosis	79.81528719
Mean	33.20224339
Median Absolute Deviation (MAD)	0
Skewness	8.693335236
Sum	1965440
Variance	264.9222864
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31	57456	94.9%
43	507	0.8%
197	434	0.7%
97	369	0.6%
89	150	0.2%
91	58	0.1%
111	51	0.1%
93	19	< 0.1%
63	16	< 0.1%
99	12	< 0.1%
Other values (46)	124	0.2%
(Missing)	1341	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
7	1	< 0.1%
11	5	< 0.1%
15	1	< 0.1%
17	2	< 0.1%
19	10	< 0.1%
21	1	< 0.1%
29	1	< 0.1%
31	57456	94.9%
37	9	< 0.1%

Value	Count	Frequency (%)
201	9	< 0.1%
199	1	< 0.1%
197	434	0.7%
195	6	< 0.1%
185	1	< 0.1%
183	3	< 0.1%
181	1	< 0.1%
179	2	< 0.1%
173	2	< 0.1%
167	2	< 0.1%

TRACTCE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1937
Distinct (%)	3.3%
Missing	1341
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	584201.0844

Minimum	100
Maximum	980100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	100
5-th percentile	40202
Q1	291200
median	740300
Q3	822500
95-th percentile	841628.75
Maximum	980100
Range	980000
Interquartile range (IQR)	531300

Descriptive statistics

Standard deviation	286468.0643
Coefficient of variation (CV)	0.4903586658
Kurtosis	-1.066405766
Mean	584201.0844
Median Absolute Deviation (MAD)	97700
Skewness	-0.7086812104
Sum	3.45823674 × 10¹⁰
Variance	8.206395189 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
431400	263	0.4%
231500	257	0.4%
839100	244	0.4%
231200	208	0.3%
808100	184	0.3%
10300	167	0.3%
31200	164	0.3%
251900	161	0.3%
838700	155	0.3%
816100	153	0.3%
Other values (1927)	57240	94.6%
(Missing)	1341	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
100	2	< 0.1%
102	1	< 0.1%
103	1	< 0.1%
105	1	< 0.1%
106	1	< 0.1%
200	3	< 0.1%
300	3	< 0.1%
301	1	< 0.1%
400	10	< 0.1%
403	1	< 0.1%

Value	Count	Frequency (%)
980100	25	< 0.1%
980000	114	0.2%
977100	1	< 0.1%
973800	1	< 0.1%
972800	1	< 0.1%
971500	1	< 0.1%
971100	3	< 0.1%
965600	1	< 0.1%
965100	2	< 0.1%
965000	1	< 0.1%

GEOID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1975
Distinct (%)	3.3%
Missing	1341
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	1.703378644 × 10¹⁰

Minimum	1.70010103 × 10¹⁰
Maximum	1.72010039 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	1.70010103 × 10¹⁰
5-th percentile	1.70310404 × 10¹⁰
Q1	1.70312924 × 10¹⁰
median	1.70317502 × 10¹⁰
Q3	1.70318227 × 10¹⁰
95-th percentile	1.70318423 × 10¹⁰
Maximum	1.72010039 × 10¹⁰
Range	199993602
Interquartile range (IQR)	530301

Descriptive statistics

Standard deviation	16309616.53
Coefficient of variation (CV)	0.0009574862634
Kurtosis	79.67761645
Mean	1.703378644 × 10¹⁰
Median Absolute Deviation (MAD)	89200
Skewness	8.683871002
Sum	1.008332022 × 10¹⁵
Variance	2.660035915 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.70314314 × 10¹⁰	263	0.4%
1.70312315 × 10¹⁰	257	0.4%
1.70318391 × 10¹⁰	244	0.4%
1.70312312 × 10¹⁰	208	0.3%
1.70318081 × 10¹⁰	184	0.3%
1.70310103 × 10¹⁰	165	0.3%
1.70310312 × 10¹⁰	164	0.3%
1.70312519 × 10¹⁰	161	0.3%
1.70318387 × 10¹⁰	155	0.3%
1.7031491 × 10¹⁰	153	0.3%
Other values (1965)	57242	94.6%
(Missing)	1341	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.70010103 × 10¹⁰	1	< 0.1%
1.70070106 × 10¹⁰	1	< 0.1%
1.70119649 × 10¹⁰	1	< 0.1%
1.7011965 × 10¹⁰	1	< 0.1%
1.70119651 × 10¹⁰	2	< 0.1%
1.70119656 × 10¹⁰	1	< 0.1%
1.70159605 × 10¹⁰	1	< 0.1%
1.70179601 × 10¹⁰	1	< 0.1%
1.70179602 × 10¹⁰	1	< 0.1%
1.70190003 × 10¹⁰	1	< 0.1%

Value	Count	Frequency (%)
1.72010039 × 10¹⁰	1	< 0.1%
1.72010036 × 10¹⁰	1	< 0.1%
1.72010034 × 10¹⁰	1	< 0.1%
1.72010032 × 10¹⁰	1	< 0.1%
1.72010031 × 10¹⁰	1	< 0.1%
1.72010027 × 10¹⁰	1	< 0.1%
1.72010026 × 10¹⁰	1	< 0.1%
1.72010004 × 10¹⁰	1	< 0.1%
1.72010001 × 10¹⁰	1	< 0.1%
1.71990214 × 10¹⁰	1	< 0.1%

NAME
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1937
Distinct (%)	3.3%
Missing	1341
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	5842.010844

Minimum	1
Maximum	9801
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	1
5-th percentile	402.02
Q1	2912
median	7403
Q3	8225
95-th percentile	8416.2875
Maximum	9801
Range	9800
Interquartile range (IQR)	5313

Descriptive statistics

Standard deviation	2864.680643
Coefficient of variation (CV)	0.4903586658
Kurtosis	-1.066405766
Mean	5842.010844
Median Absolute Deviation (MAD)	977
Skewness	-0.7086812104
Sum	345823674
Variance	8206395.189
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4314	263	0.4%
2315	257	0.4%
8391	244	0.4%
2312	208	0.3%
8081	184	0.3%
103	167	0.3%
312	164	0.3%
2519	161	0.3%
8387	155	0.3%
8161	153	0.3%
Other values (1927)	57240	94.6%
(Missing)	1341	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2	< 0.1%
1.02	1	< 0.1%
1.03	1	< 0.1%
1.05	1	< 0.1%
1.06	1	< 0.1%
2	3	< 0.1%
3	3	< 0.1%
3.01	1	< 0.1%
4	10	< 0.1%
4.03	1	< 0.1%

Value	Count	Frequency (%)
9801	25	< 0.1%
9800	114	0.2%
9771	1	< 0.1%
9738	1	< 0.1%
9728	1	< 0.1%
9715	1	< 0.1%
9711	3	< 0.1%
9656	1	< 0.1%
9651	2	< 0.1%
9650	1	< 0.1%

NAMELSAD
Categorical

HIGH CARDINALITY
MISSING

Distinct	1937
Distinct (%)	3.3%
Missing	1341
Missing (%)	2.2%
Memory size	4.3 MiB

Census Tract 4314	263
Census Tract 2315	257
Census Tract 8391	244
Census Tract 2312	208
Census Tract 8081	184
Other values (1932)	58040

Length

Max length	20
Median length	17
Mean length	17.95930468
Min length	14

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	296 ?
Unique (%)	0.5%

Sample

1st row	Census Tract 208.01
2nd row	Census Tract 2519
3rd row	Census Tract 1001
4th row	Census Tract 8201.01
5th row	Census Tract 8230.01

Common Values

Value	Count	Frequency (%)
Census Tract 4314	263	0.4%
Census Tract 2315	257	0.4%
Census Tract 8391	244	0.4%
Census Tract 2312	208	0.3%
Census Tract 8081	184	0.3%
Census Tract 103	167	0.3%
Census Tract 312	164	0.3%
Census Tract 2519	161	0.3%
Census Tract 8387	155	0.3%
Census Tract 8161	153	0.3%
Other values (1927)	57240	94.6%
(Missing)	1341	2.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
census	59196	33.3%
tract	59196	33.3%
4314	263	0.1%
2315	257	0.1%
8391	244	0.1%
2312	208	0.1%
8081	184	0.1%
103	167	0.1%
312	164	0.1%
2519	161	0.1%
Other values (1929)	57548	32.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

MTFCC
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	1341
Missing (%)	2.2%
Memory size	3.5 MiB

G5020	59196

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	G5020
2nd row	G5020
3rd row	G5020
4th row	G5020
5th row	G5020

Common Values

Value	Count	Frequency (%)
G5020	59196	97.8%
(Missing)	1341	2.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
g5020	59196	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

FUNCSTAT
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	1341
Missing (%)	2.2%
Memory size	3.3 MiB

S	59196

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	S
2nd row	S
3rd row	S
4th row	S
5th row	S

Common Values

Value	Count	Frequency (%)
S	59196	97.8%
(Missing)	1341	2.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
s	59196	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ALAND
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	1975
Distinct (%)	3.3%
Missing	1341
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	2618399.872

Minimum	22158
Maximum	589712667
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	22158
5-th percentile	266386
Q1	576183
median	1010886
Q3	2428330.25
95-th percentile	7053776
Maximum	589712667
Range	589690509
Interquartile range (IQR)	1852147.25

Descriptive statistics

Standard deviation	11696788.37
Coefficient of variation (CV)	4.467151291
Kurtosis	888.7906674
Mean	2618399.872
Median Absolute Deviation (MAD)	633878
Skewness	26.68689517
Sum	1.549987988 × 10¹¹
Variance	1.368148581 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1084987	263	0.4%
999706	257	0.4%
1101771	244	0.4%
656674	208	0.3%
4896434	184	0.3%
472522	165	0.3%
326475	164	0.3%
632452	161	0.3%
658085	155	0.3%
1277974	153	0.3%
Other values (1965)	57242	94.6%
(Missing)	1341	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
22158	23	< 0.1%
64827	5	< 0.1%
69094	7	< 0.1%
69878	27	< 0.1%
82769	11	< 0.1%
86631	14	< 0.1%
93843	26	< 0.1%
102996	64	0.1%
106483	12	< 0.1%
108677	15	< 0.1%

Value	Count	Frequency (%)
589712667	1	< 0.1%
540953848	1	< 0.1%
519980766	1	< 0.1%
481581034	1	< 0.1%
477143251	1	< 0.1%
436443462	1	< 0.1%
427256213	1	< 0.1%
421576584	1	< 0.1%
419600365	1	< 0.1%
414428071	1	< 0.1%

AWATER
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	731
Distinct (%)	1.2%
Missing	1341
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	66665.51512

Minimum	0
Maximum	43826867
Zeros	46101
Zeros (%)	76.2%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	283388
Maximum	43826867
Range	43826867
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	420153.81
Coefficient of variation (CV)	6.302416013
Kurtosis	3056.115878
Mean	66665.51512
Median Absolute Deviation (MAD)	0
Skewness	38.48057344
Sum	3946331833
Variance	1.76529224 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	46101	76.2%
1126154	263	0.4%
84111	244	0.4%
143193	127	0.2%
14139	124	0.2%
92402	114	0.2%
143185	113	0.2%
466785	110	0.2%
7945	105	0.2%
68430	105	0.2%
Other values (721)	11790	19.5%
(Missing)	1341	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	46101	76.2%
65	1	< 0.1%
139	1	< 0.1%
262	3	< 0.1%
324	65	0.1%
533	2	< 0.1%
562	25	< 0.1%
590	1	< 0.1%
662	2	< 0.1%
801	1	< 0.1%

Value	Count	Frequency (%)
43826867	1	< 0.1%
35170832	1	< 0.1%
17436030	1	< 0.1%
16915518	2	< 0.1%
16813884	1	< 0.1%
12341795	1	< 0.1%
9261122	1	< 0.1%
9097281	1	< 0.1%
9069028	1	< 0.1%
8887004	1	< 0.1%

INTPTLAT
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1975
Distinct (%)	3.3%
Missing	1341
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	41.8418872

Minimum	37.22419
Maximum	42.4859826
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	37.22419
5-th percentile	41.5824275
Q1	41.7482097
median	41.8614519
Q3	41.94680475
95-th percentile	42.071667
Maximum	42.4859826
Range	5.2617926
Interquartile range (IQR)	0.19859505

Descriptive statistics

Standard deviation	0.1703825957
Coefficient of variation (CV)	0.0040720581
Kurtosis	91.88341528
Mean	41.8418872
Median Absolute Deviation (MAD)	0.1002536
Skewness	-4.541504298
Sum	2476872.355
Variance	0.02903022892
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41.7572084	263	0.4%
41.8917357	257	0.4%
41.8809857	244	0.4%
41.8990614	208	0.3%
42.0113034	184	0.3%
42.0159431	165	0.3%
41.9727092	164	0.3%
41.8838116	161	0.3%
41.8625775	155	0.3%
41.6997625	153	0.3%
Other values (1965)	57242	94.6%
(Missing)	1341	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
37.22419	3	< 0.1%
37.3894453	1	< 0.1%
37.6675975	1	< 0.1%
37.6680356	1	< 0.1%
37.6963515	1	< 0.1%
37.7230404	1	< 0.1%
37.9309432	1	< 0.1%
38.3078967	1	< 0.1%
38.4342956	1	< 0.1%
38.4453375	1	< 0.1%

Value	Count	Frequency (%)
42.4859826	1	< 0.1%
42.4857181	1	< 0.1%
42.4794732	1	< 0.1%
42.470091	2	< 0.1%
42.461345	1	< 0.1%
42.4561668	1	< 0.1%
42.4560506	1	< 0.1%
42.4552559	1	< 0.1%
42.4534857	1	< 0.1%
42.45339	1	< 0.1%

INTPTLON
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1975
Distinct (%)	3.3%
Missing	1341
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	-87.73909182

Minimum	-91.1590178
Maximum	-87.5294325
Zeros	0
Zeros (%)	0.0%
Negative	59196
Negative (%)	97.8%
Memory size	473.1 KiB

Quantile statistics

Minimum	-91.1590178
5-th percentile	-88.0130994
Q1	-87.7884717
median	-87.7117002
Q3	-87.6509155
95-th percentile	-87.5804887
Maximum	-87.5294325
Range	3.6295853
Interquartile range (IQR)	0.1375562

Descriptive statistics

Standard deviation	0.1478177619
Coefficient of variation (CV)	-0.001684742329
Kurtosis	49.91620952
Mean	-87.73909182
Median Absolute Deviation (MAD)	0.06659
Skewness	-4.243875324
Sum	-5193803.279
Variance	0.02185009073
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-87.546555	263	0.4%
-87.7186525	257	0.4%
-87.6330703	244	0.4%
-87.7213153	208	0.3%
-87.7900018	184	0.3%
-87.6665393	165	0.3%
-87.657341	164	0.3%
-87.7600945	161	0.3%
-87.7201851	155	0.3%
-87.6280536	153	0.3%
Other values (1965)	57242	94.6%
(Missing)	1341	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-91.1590178	1	< 0.1%
-90.711257	1	< 0.1%
-90.6671949	1	< 0.1%
-90.6379409	1	< 0.1%
-90.5289893	1	< 0.1%
-90.5079084	1	< 0.1%
-90.4229725	1	< 0.1%
-90.416974	1	< 0.1%
-90.3267244	1	< 0.1%
-90.2314106	1	< 0.1%

Value	Count	Frequency (%)
-87.5294325	29	< 0.1%
-87.5307029	24	< 0.1%
-87.5308719	29	< 0.1%
-87.5324077	37	0.1%
-87.5348993	20	< 0.1%
-87.5355854	31	0.1%
-87.5356299	28	< 0.1%
-87.5359785	74	0.1%
-87.5363658	33	0.1%
-87.5367253	77	0.1%

OBJECTID_12
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	81
Distinct (%)	26.9%
Missing	60236
Missing (%)	99.5%
Infinite	0
Infinite (%)	0.0%
Mean	1657.099668

Minimum	64
Maximum	2167
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	64
5-th percentile	755
Q1	1122
median	1781
Q3	2145
95-th percentile	2167
Maximum	2167
Range	2103
Interquartile range (IQR)	1023

Descriptive statistics

Standard deviation	537.868686
Coefficient of variation (CV)	0.3245843907
Kurtosis	-0.7641775448
Mean	1657.099668
Median Absolute Deviation (MAD)	365
Skewness	-0.7502818647
Sum	498787
Variance	289302.7234
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1781	43	0.1%
2145	41	0.1%
2146	33	0.1%
1109	23	< 0.1%
2167	22	< 0.1%
2093	16	< 0.1%
800	10	< 0.1%
489	9	< 0.1%
1247	6	< 0.1%
1850	5	< 0.1%
Other values (71)	93	0.2%
(Missing)	60236	99.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
64	1	< 0.1%
444	1	< 0.1%
488	1	< 0.1%
489	9	< 0.1%
519	1	< 0.1%
736	1	< 0.1%
739	1	< 0.1%
755	1	< 0.1%
761	1	< 0.1%
763	2	< 0.1%

Value	Count	Frequency (%)
2167	22	< 0.1%
2149	3	< 0.1%
2146	33	0.1%
2145	41	0.1%
2144	1	< 0.1%
2122	1	< 0.1%
2107	5	< 0.1%
2102	2	< 0.1%
2097	1	< 0.1%
2093	16	< 0.1%

CFNAME
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	77
Distinct (%)	25.6%
Missing	60236
Missing (%)	99.5%
Memory size	1.9 MiB

Lincoln (Abraham) Park	43
Jackson Park	42
Burnham Park	33
Humboldt Park	23
Grant Park	22
Other values (72)	138

Length

Max length	30
Median length	12
Mean length	14.66777409
Min length	9

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	17.9%

Sample

1st row	Altman Park
2nd row	Jackson Park
3rd row	Altgeld Park
4th row	Jackson Park
5th row	Seward Park

Common Values

Value	Count	Frequency (%)
Lincoln (Abraham) Park	43	0.1%
Jackson Park	42	0.1%
Burnham Park	33	0.1%
Humboldt Park	23	< 0.1%
Grant Park	22	< 0.1%
Garfield Park	16	< 0.1%
Washington Park	11	< 0.1%
Douglas Park	10	< 0.1%
Lincolnwood Centennial Park	9	< 0.1%
Loyola Park	5	< 0.1%
Other values (67)	87	0.1%
(Missing)	60236	99.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
park	292	43.0%
lincoln	43	6.3%
abraham	43	6.3%
jackson	42	6.2%
burnham	33	4.9%
humboldt	23	3.4%
grant	22	3.2%
garfield	16	2.4%
washington	11	1.6%
centennial	10	1.5%
Other values (93)	144	21.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

CFTYPE
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	0.3%
Missing	60236
Missing (%)	99.5%
Memory size	1.9 MiB

Park	301

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Park
2nd row	Park
3rd row	Park
4th row	Park
5th row	Park

Common Values

Value	Count	Frequency (%)
Park	301	0.5%
(Missing)	60236	99.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
park	301	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

CFSUBTYPE
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	0.3%
Missing	60236
Missing (%)	99.5%
Memory size	1.9 MiB

Park	301

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Park
2nd row	Park
3rd row	Park
4th row	Park
5th row	Park

Common Values

Value	Count	Frequency (%)
Park	301	0.5%
(Missing)	60236	99.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
park	301	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ADDRESS
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	73
Distinct (%)	24.3%
Missing	60236
Missing (%)	99.5%
Memory size	1.9 MiB

200 W Fullerton Pkwy	43
6401 S Stony Island Ave	42
425 E Mcfetridge Dr	33
1400 N Humboldt Dr	23
331 E Randolph St	22
Other values (68)	138

Length

Max length	34
Median length	19
Mean length	18.65780731
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	16.9%

Sample

1st row	7205 115th St
2nd row	6401 S Stony Island Ave
3rd row	531 N Washtenaw Ave
4th row	6401 S Stony Island Ave
5th row	375 W Elm St

Common Values

Value	Count	Frequency (%)
200 W Fullerton Pkwy	43	0.1%
6401 S Stony Island Ave	42	0.1%
425 E Mcfetridge Dr	33	0.1%
1400 N Humboldt Dr	23	< 0.1%
331 E Randolph St	22	< 0.1%
Unknown	19	< 0.1%
100 N Central Park Dr	16	< 0.1%
1613 S Sacramento Dr	10	< 0.1%
5531 S Dr Martin Luther King Jr Dr	6	< 0.1%
1230 W Greenleaf Ave	5	< 0.1%
Other values (63)	82	0.1%
(Missing)	60236	99.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
dr	101	8.2%
s	88	7.2%
ave	86	7.0%
w	65	5.3%
e	61	5.0%
n	50	4.1%
fullerton	44	3.6%
200	43	3.5%
pkwy	43	3.5%
island	42	3.4%
Other values (148)	604	49.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GNISCODE
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	66
Distinct (%)	21.9%
Missing	60236
Missing (%)	99.5%
Infinite	0
Infinite (%)	0.0%
Mean	832189.9934

Minimum	0
Maximum	2026789
Zeros	30
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	409294
median	411001
Q3	1829853
95-th percentile	1832764
Maximum	2026789
Range	2026789
Interquartile range (IQR)	1420559

Descriptive statistics

Standard deviation	704422.5875
Coefficient of variation (CV)	0.8464684665
Kurtosis	-1.412604314
Mean	832189.9934
Median Absolute Deviation (MAD)	7365
Skewness	0.6452236989
Sum	250489188
Variance	4.962111818 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1829853	43	0.1%
411001	42	0.1%
1832764	33	0.1%
0	30	< 0.1%
410679	23	< 0.1%
409294	22	< 0.1%
408893	16	< 0.1%
407341	10	< 0.1%
420567	6	< 0.1%
412732	5	< 0.1%
Other values (56)	71	0.1%
(Missing)	60236	99.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	30	< 0.1%
403466	3	< 0.1%
403729	1	< 0.1%
404182	1	< 0.1%
405376	1	< 0.1%
406164	1	< 0.1%
406418	2	< 0.1%
407341	10	< 0.1%
407690	1	< 0.1%
407844	1	< 0.1%

Value	Count	Frequency (%)
2026789	1	< 0.1%
1866467	1	< 0.1%
1866456	1	< 0.1%
1837127	1	< 0.1%
1836767	1	< 0.1%
1836653	1	< 0.1%
1832975	1	< 0.1%
1832964	1	< 0.1%
1832843	1	< 0.1%
1832764	33	0.1%

COMMENT
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	1.0%
Missing	60236
Missing (%)	99.5%
Memory size	1.9 MiB

	243
Multiple additional GNIS codes.	55
Additional GNIS code of 1831526.	3

Length

Max length	32
Median length	1
Mean length	6.790697674
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	243	0.4%
Multiple additional GNIS codes.	55	0.1%
Additional GNIS code of 1831526.	3	< 0.1%
(Missing)	60236	99.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
additional	58	24.7%
gnis	58	24.7%
multiple	55	23.4%
codes	55	23.4%
code	3	1.3%
of	3	1.3%
1831526	3	1.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

SOURCE
Categorical

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	2.7%
Missing	60236
Missing (%)	99.5%
Memory size	1.9 MiB

CGIL	155
CGI	102
GI	20
CG	12
GIL	9
Other values (3)	3

Length

Max length	4
Median length	4
Mean length	3.398671096
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	1.0%

Sample

1st row	CG
2nd row	CGIL
3rd row	CGIL
4th row	CGIL
5th row	CGI

Common Values

Value	Count	Frequency (%)
CGIL	155	0.3%
CGI	102	0.2%
GI	20	< 0.1%
CG	12	< 0.1%
GIL	9	< 0.1%
CGL	1	< 0.1%
G	1	< 0.1%
CI	1	< 0.1%
(Missing)	60236	99.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
cgil	155	51.5%
cgi	102	33.9%
gi	20	6.6%
cg	12	4.0%
gil	9	3.0%
cgl	1	0.3%
g	1	0.3%
ci	1	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Jurisdicti
Categorical

HIGH CORRELATION
MISSING

Distinct	28
Distinct (%)	9.3%
Missing	60236
Missing (%)	99.5%
Memory size	1.9 MiB

CHICAGO PARK DISTRICT	231
METRO WATER RECLM DIST	16
	15
IL DEPT-MILITARY AFFRS	6
NORTHLAKE CITY OF	4
Other values (23)	29

Length

Max length	22
Median length	21
Mean length	19.67774086
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	6.0%

Sample

1st row	METRO WATER RECLM DIST
2nd row	CHICAGO PARK DISTRICT
3rd row	CHICAGO PARK DISTRICT
4th row	CHICAGO PARK DISTRICT
5th row	CHICAGO PARK DISTRICT

Common Values

Value	Count	Frequency (%)
CHICAGO PARK DISTRICT	231	0.4%
METRO WATER RECLM DIST	16	< 0.1%
	15	< 0.1%
IL DEPT-MILITARY AFFRS	6	< 0.1%
NORTHLAKE CITY OF	4	< 0.1%
BURBANK PARK DIST	3	< 0.1%
ALSIP PARK DIST	2	< 0.1%
STATE OF ILLINOIS	2	< 0.1%
CITY OF CHICAGO	2	< 0.1%
WILMETTE PARK DIST	2	< 0.1%
Other values (18)	18	< 0.1%
(Missing)	60236	99.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
park	251	28.6%
chicago	234	26.7%
district	231	26.3%
dist	37	4.2%
metro	16	1.8%
water	16	1.8%
reclm	16	1.8%
of	11	1.3%
city	7	0.8%
il	6	0.7%
Other values (32)	53	6.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Community
Categorical

HIGH CORRELATION
MISSING

Distinct	22
Distinct (%)	7.3%
Missing	60236
Missing (%)	99.5%
Memory size	1.9 MiB

Chicago	259
Lincolnwood	9
Northlake	4
Worth	4
Skokie	3
Other values (17)	22

Length

Max length	15
Median length	7
Mean length	7.202657807
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	4.0%

Sample

1st row	Worth
2nd row	Chicago
3rd row	Chicago
4th row	Chicago
5th row	Chicago

Common Values

Value	Count	Frequency (%)
Chicago	259	0.4%
Lincolnwood	9	< 0.1%
Northlake	4	< 0.1%
Worth	4	< 0.1%
Skokie	3	< 0.1%
Burbank	2	< 0.1%
Wilmette	2	< 0.1%
Cicero	2	< 0.1%
Glenview	2	< 0.1%
Alsip	2	< 0.1%
Other values (12)	12	< 0.1%
(Missing)	60236	99.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chicago	259	84.9%
lincolnwood	9	3.0%
northlake	4	1.3%
worth	4	1.3%
skokie	3	1.0%
cicero	2	0.7%
alsip	2	0.7%
glenview	2	0.7%
wilmette	2	0.7%
burbank	2	0.7%
Other values (16)	16	5.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

landuse_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	54
Distinct (%)	0.1%
Missing	1551
Missing (%)	2.6%
Memory size	4.2 MiB

Multi-Family	16666
NON-PARCEL AREAS	15623
Single-Family Detached	15089
Medical Facilities	3630
Single-Family Attached	1485
Other values (49)	6493

Length

Max length	54
Median length	16
Mean length	17.26360492
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Multi-Family
2nd row	Single-Family Detached
3rd row	Single-Family Detached
4th row	NON-PARCEL AREAS
5th row	Multi-Family

Common Values

Value	Count	Frequency (%)
Multi-Family	16666	27.5%
NON-PARCEL AREAS	15623	25.8%
Single-Family Detached	15089	24.9%
Medical Facilities	3630	6.0%
Single-Family Attached	1485	2.5%
Urban Mix	1411	2.3%
Urban Mix w/Residential Component	1303	2.2%
Hotel/Motel	681	1.1%
Mobile Home Parks and Trailer Courts	316	0.5%
Office	307	0.5%
Other values (44)	2475	4.1%
(Missing)	1551	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
multi-family	16666	15.5%
single-family	16574	15.4%
areas	15623	14.6%
non-parcel	15623	14.6%
detached	15089	14.1%
facilities	3977	3.7%
medical	3630	3.4%
urban	2714	2.5%
mix	2714	2.5%
attached	1485	1.4%
Other values (89)	13200	12.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

landuse_sub_name
Categorical

HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	< 0.1%
Missing	1551
Missing (%)	2.6%
Memory size	4.0 MiB

Residential	33610
Non-Parcel Areas	15623
Institutional	4153
Commercial	3928
TRANS/COMM/UTIL/WASTE	661
Other values (10)	1011

Length

Max length	23
Median length	11
Mean length	12.59066558
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Residential
2nd row	Residential
3rd row	Residential
4th row	Non-Parcel Areas
5th row	Residential

Common Values

Value	Count	Frequency (%)
Residential	33610	55.5%
Non-Parcel Areas	15623	25.8%
Institutional	4153	6.9%
Commercial	3928	6.5%
TRANS/COMM/UTIL/WASTE	661	1.1%
Industrial	397	0.7%
Primarily Recreation	266	0.4%
Vacant/Undeveloped Land	135	0.2%
Primarily Conservation	65	0.1%
Golf Course	49	0.1%
Other values (5)	99	0.2%
(Missing)	1551	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
residential	33610	44.7%
non-parcel	15623	20.8%
areas	15623	20.8%
institutional	4153	5.5%
commercial	3928	5.2%
trans/comm/util/waste	661	0.9%
industrial	397	0.5%
primarily	331	0.4%
recreation	266	0.4%
vacant/undeveloped	135	0.2%
Other values (13)	475	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

landuse_major_name
Categorical

HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	1551
Missing (%)	2.6%
Memory size	3.9 MiB

Urbanized	42749
Non-Parcel Areas	15623
Open Space	395
Vacant/Under Construction	175
AGRICULTURE	33
Other values (2)	11

Length

Max length	25
Median length	9
Mean length	10.91004645
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urbanized
2nd row	Urbanized
3rd row	Urbanized
4th row	Non-Parcel Areas
5th row	Urbanized

Common Values

Value	Count	Frequency (%)
Urbanized	42749	70.6%
Non-Parcel Areas	15623	25.8%
Open Space	395	0.7%
Vacant/Under Construction	175	0.3%
AGRICULTURE	33	0.1%
Not Classifiable	8	< 0.1%
Water	3	< 0.1%
(Missing)	1551	2.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
urbanized	42749	56.9%
non-parcel	15623	20.8%
areas	15623	20.8%
open	395	0.5%
space	395	0.5%
vacant/under	175	0.2%
construction	175	0.2%
agriculture	33	< 0.1%
not	8	< 0.1%
classifiable	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

death_datetime
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	59410
Distinct (%)	98.2%
Missing	59
Missing (%)	0.1%
Memory size	4.4 MiB

2018-08-26 04:09:00	7
2016-02-04 13:53:00	6
2019-04-19 10:45:00	5
2017-03-30 16:32:00	4
2016-08-23 06:45:00	3
Other values (59405)	60453

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	58394 ?
Unique (%)	96.6%

Sample

1st row	2021-12-14 20:15:00
2nd row	2021-12-15 03:16:00
3rd row	2021-12-15 00:29:00
4th row	2021-12-15 00:52:00
5th row	2021-12-15 00:40:00

Common Values

Value	Count	Frequency (%)
2018-08-26 04:09:00	7	< 0.1%
2016-02-04 13:53:00	6	< 0.1%
2019-04-19 10:45:00	5	< 0.1%
2017-03-30 16:32:00	4	< 0.1%
2016-08-23 06:45:00	3	< 0.1%
2014-10-13 00:30:00	3	< 0.1%
2020-05-14 03:15:00	3	< 0.1%
2016-02-09 01:05:00	3	< 0.1%
2021-03-29 02:15:00	3	< 0.1%
2020-04-20 06:15:00	3	< 0.1%
Other values (59400)	60438	99.8%
(Missing)	59	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
00:00:00	242	0.2%
12:30:00	137	0.1%
17:00:00	126	0.1%
13:30:00	124	0.1%
14:00:00	124	0.1%
11:30:00	123	0.1%
16:00:00	123	0.1%
15:30:00	122	0.1%
16:45:00	119	0.1%
17:30:00	118	0.1%
Other values (4129)	119598	98.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

death_time
Categorical

HIGH CARDINALITY

Distinct	1440
Distinct (%)	2.4%
Missing	59
Missing (%)	0.1%
Memory size	3.8 MiB

00:00:00	242
12:30:00	137
17:00:00	126
14:00:00	124
13:30:00	124
Other values (1435)	59725

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20:15:00
2nd row	03:16:00
3rd row	00:29:00
4th row	00:52:00
5th row	00:40:00

Common Values

Value	Count	Frequency (%)
00:00:00	242	0.4%
12:30:00	137	0.2%
17:00:00	126	0.2%
14:00:00	124	0.2%
13:30:00	124	0.2%
11:30:00	123	0.2%
16:00:00	123	0.2%
15:30:00	122	0.2%
16:45:00	119	0.2%
17:30:00	118	0.2%
Other values (1430)	59120	97.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
00:00:00	242	0.4%
12:30:00	137	0.2%
17:00:00	126	0.2%
13:30:00	124	0.2%
14:00:00	124	0.2%
11:30:00	123	0.2%
16:00:00	123	0.2%
15:30:00	122	0.2%
16:45:00	119	0.2%
17:30:00	118	0.2%
Other values (1430)	59120	97.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

death_year
Real number (ℝ_≥0)

Distinct	11
Distinct (%)	< 0.1%
Missing	59
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	2018.479216

Minimum	2008
Maximum	2021
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	2008
5-th percentile	2015
Q1	2017
median	2019
Q3	2020
95-th percentile	2021
Maximum	2021
Range	13
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.147931879
Coefficient of variation (CV)	0.001064133761
Kurtosis	-1.018777488
Mean	2018.479216
Median Absolute Deviation (MAD)	2
Skewness	-0.5144651379
Sum	122073586
Variance	4.613611356
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
2020	16075	26.6%
2021	11669	19.3%
2016	6316	10.4%
2019	6272	10.4%
2018	6189	10.2%
2017	6126	10.1%
2015	5650	9.3%
2014	2175	3.6%
2013	3	< 0.1%
2011	2	< 0.1%
(Missing)	59	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2008	1	< 0.1%
2011	2	< 0.1%
2013	3	< 0.1%
2014	2175	3.6%
2015	5650	9.3%
2016	6316	10.4%
2017	6126	10.1%
2018	6189	10.2%
2019	6272	10.4%
2020	16075	26.6%

Value	Count	Frequency (%)
2021	11669	19.3%
2020	16075	26.6%
2019	6272	10.4%
2018	6189	10.2%
2017	6126	10.1%
2016	6316	10.4%
2015	5650	9.3%
2014	2175	3.6%
2013	3	< 0.1%
2011	2	< 0.1%

death_month
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	59
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	6.716442343

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.466717042
Coefficient of variation (CV)	0.5161537709
Kurtosis	-1.21126643
Mean	6.716442343
Median Absolute Deviation (MAD)	3
Skewness	-0.03173276525
Sum	406197
Variance	12.01812705
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
5	6373	10.5%
12	6061	10.0%
11	5775	9.5%
4	5752	9.5%
10	4943	8.2%
9	4899	8.1%
6	4858	8.0%
1	4819	8.0%
8	4569	7.5%
7	4415	7.3%
Other values (2)	8014	13.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4819	8.0%
2	3920	6.5%
3	4094	6.8%
4	5752	9.5%
5	6373	10.5%
6	4858	8.0%
7	4415	7.3%
8	4569	7.5%
9	4899	8.1%
10	4943	8.2%

Value	Count	Frequency (%)
12	6061	10.0%
11	5775	9.5%
10	4943	8.2%
9	4899	8.1%
8	4569	7.5%
7	4415	7.3%
6	4858	8.0%
5	6373	10.5%
4	5752	9.5%
3	4094	6.8%

death_day
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	0.1%
Missing	59
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	15.52801019

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	15
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.853164683
Coefficient of variation (CV)	0.5701416072
Kurtosis	-1.2055705
Mean	15.52801019
Median Absolute Deviation (MAD)	8
Skewness	0.0311838786
Sum	939103
Variance	78.37852491
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
3	2148	3.5%
2	2136	3.5%
4	2114	3.5%
1	2085	3.4%
8	2041	3.4%
5	2033	3.4%
6	2022	3.3%
14	2016	3.3%
19	2010	3.3%
23	1999	3.3%
Other values (21)	39874	65.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2085	3.4%
2	2136	3.5%
3	2148	3.5%
4	2114	3.5%
5	2033	3.4%
6	2022	3.3%
7	1979	3.3%
8	2041	3.4%
9	1991	3.3%
10	1964	3.2%

Value	Count	Frequency (%)
31	1172	1.9%
30	1788	3.0%
29	1829	3.0%
28	1894	3.1%
27	1907	3.2%
26	1939	3.2%
25	1971	3.3%
24	1998	3.3%
23	1999	3.3%
22	1920	3.2%

death_week
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	53
Distinct (%)	0.1%
Missing	59
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	27.58267469

Minimum	1
Maximum	53
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	473.1 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	15
median	27
Q3	41
95-th percentile	51
Maximum	53
Range	52
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	15.17775259
Coefficient of variation (CV)	0.5502639884
Kurtosis	-1.196632954
Mean	27.58267469
Median Absolute Deviation (MAD)	13
Skewness	-0.02534844982
Sum	1668145
Variance	230.3641736
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
49	1568	2.6%
18	1552	2.6%
19	1523	2.5%
20	1460	2.4%
47	1458	2.4%
48	1438	2.4%
16	1388	2.3%
17	1387	2.3%
21	1334	2.2%
22	1319	2.2%
Other values (43)	46051	76.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1168	1.9%
2	1088	1.8%
3	1049	1.7%
4	996	1.6%
5	1001	1.7%
6	980	1.6%
7	923	1.5%
8	964	1.6%
9	933	1.5%
10	936	1.5%

Value	Count	Frequency (%)
53	604	1.0%
52	1275	2.1%
51	1225	2.0%
50	1283	2.1%
49	1568	2.6%
48	1438	2.4%
47	1458	2.4%
46	1280	2.1%
45	1236	2.0%
44	1196	2.0%

motel
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	53642
Missing (%)	88.6%
Memory size	2.4 MiB

0.0	6815
1.0	80

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6815	11.3%
1.0	80	0.1%
(Missing)	53642	88.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6815	98.8%
1.0	80	1.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

hot_combined
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

0	60490
1	47

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	60490	99.9%
1	47	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	60490	99.9%
1	47	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

cold_combined
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

0	60143
1	394

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	60143	99.3%
1	394	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	60143	99.3%
1	394	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

primary_combined
Categorical

HIGH CARDINALITY
MISSING

Distinct	12238
Distinct (%)	20.6%
Missing	1045
Missing (%)	1.7%
Memory size	5.7 MiB

ORGANIC CARDIOVASCULAR DISEASE	5447
PNEUMONIANOVEL CORONA (COVID-19) VIRAL INFECTION	3159
MULTIPLE GUNSHOT WOUNDS	3054
HYPERTENSIVE CARDIOVASCULAR DISEASE	2514
NOVEL CORONA (COVID-19) VIRAL INFECTION	1904
Other values (12233)	43414

Length

Max length	262
Median length	39
Mean length	42.85697237
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9847 ?
Unique (%)	16.6%

Sample

1st row	ATHEROSCLEROTIC CARDIOVASCULAR DISEASE
2nd row	ORGANIC CARDIOVASCULAR DISEASE
3rd row	ORGANIC CARDIOVASCULAR DISEASE
4th row	MULTIPLE INJURIESSPORTS UTILITY VEHICLE STRIKING PEDESTRIAN
5th row	MULTIPLE BLUNT FORCE INJURIESMOTOR VEHICLE COLLISION

Common Values

Value	Count	Frequency (%)
ORGANIC CARDIOVASCULAR DISEASE	5447	9.0%
PNEUMONIANOVEL CORONA (COVID-19) VIRAL INFECTION	3159	5.2%
MULTIPLE GUNSHOT WOUNDS	3054	5.0%
HYPERTENSIVE CARDIOVASCULAR DISEASE	2514	4.2%
NOVEL CORONA (COVID-19) VIRAL INFECTION	1904	3.1%
HYPERTENSIVE ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE	1385	2.3%
ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE	1174	1.9%
PNEUMONIANOVEL CORONA (COVID-19) VIRUS INFECTION	908	1.5%
GUNSHOT WOUND OF HEAD	875	1.4%
HANGING	736	1.2%
Other values (12228)	38336	63.3%
(Missing)	1045	1.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
disease	14451	5.2%
cardiovascular	13802	4.9%
covid-19	11655	4.2%
corona	11633	4.2%
infection	11457	4.1%
and	9797	3.5%
toxicity	9444	3.4%
fentanyl	9437	3.4%
of	9248	3.3%
viral	8787	3.1%
Other values (4510)	169832	60.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

matching_addresses
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

0	60154
1	383

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	60154	99.4%
1	383	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	60154	99.4%
1	383	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

repeated_address
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

1	54225
0	6312

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	54225	89.6%
0	6312	10.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	54225	89.6%
0	6312	10.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

repeated_lat_long
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

1	55568
0	4969

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	55568	91.8%
0	4969	8.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	55568	91.8%
0	4969	8.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

incident_date_y
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	52186
Distinct (%)	88.4%
Missing	1490
Missing (%)	2.5%
Memory size	4.3 MiB

05/04/2020 12:00 AM	34
04/16/2020 12:00 AM	34
04/29/2020 12:00 AM	33
04/19/2020 12:00 AM	32
05/05/2020 12:00 AM	32
Other values (52181)	58882

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	49291 ?
Unique (%)	83.5%

Sample

1st row	12/13/2021 04:00 PM
2nd row	12/15/2021 02:55 AM
3rd row	12/07/2021 09:38 AM
4th row	12/14/2021 08:00 PM
5th row	12/15/2021 12:01 AM

Common Values

Value	Count	Frequency (%)
05/04/2020 12:00 AM	34	0.1%
04/16/2020 12:00 AM	34	0.1%
04/29/2020 12:00 AM	33	0.1%
04/19/2020 12:00 AM	32	0.1%
05/05/2020 12:00 AM	32	0.1%
04/24/2020 12:00 AM	32	0.1%
04/20/2020 12:00 AM	32	0.1%
04/23/2020 12:00 AM	30	< 0.1%
12/14/2020 12:00 AM	29	< 0.1%
04/28/2020 12:00 AM	28	< 0.1%
Other values (52176)	58731	97.0%
(Missing)	1490	2.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pm	31813	18.0%
am	27234	15.4%
12:00	6763	3.8%
10:00	1234	0.7%
03:00	1080	0.6%
08:00	864	0.5%
09:00	817	0.5%
07:00	732	0.4%
01:00	730	0.4%
11:00	729	0.4%
Other values (3570)	105145	59.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

death_date_y
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	59404
Distinct (%)	98.2%
Missing	65
Missing (%)	0.1%
Memory size	4.4 MiB

08/26/2018 04:09 AM	7
02/04/2016 01:53 PM	6
04/19/2019 10:45 AM	5
03/30/2017 04:32 PM	4
08/01/2017 12:00 AM	3
Other values (59399)	60447

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	58388 ?
Unique (%)	96.6%

Sample

1st row	12/14/2021 08:15 PM
2nd row	12/15/2021 03:16 AM
3rd row	12/15/2021 12:29 AM
4th row	12/15/2021 12:52 AM
5th row	12/15/2021 12:40 AM

Common Values

Value	Count	Frequency (%)
08/26/2018 04:09 AM	7	< 0.1%
02/04/2016 01:53 PM	6	< 0.1%
04/19/2019 10:45 AM	5	< 0.1%
03/30/2017 04:32 PM	4	< 0.1%
08/01/2017 12:00 AM	3	< 0.1%
05/14/2020 11:50 PM	3	< 0.1%
05/23/2020 03:10 AM	3	< 0.1%
04/30/2020 12:45 PM	3	< 0.1%
10/30/2015 05:34 PM	3	< 0.1%
09/09/2017 11:59 PM	3	< 0.1%
Other values (59394)	60432	99.8%
(Missing)	65	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pm	35052	19.3%
am	25420	14.0%
12:00	354	0.2%
12:30	215	0.1%
09:30	214	0.1%
10:30	201	0.1%
11:30	195	0.1%
02:00	190	0.1%
03:30	189	0.1%
01:30	189	0.1%
Other values (3406)	119197	65.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

death_street
Categorical

HIGH CARDINALITY
MISSING

Distinct	39810
Distinct (%)	67.9%
Missing	1867
Missing (%)	3.1%
Memory size	4.4 MiB

4440 West 95th Street	830
1775 Dempster Street	693
5841 South Maryland Avenue	652
2100 Pfingsten Road	521
2160 South 1st Avenue	463
Other values (39805)	55511

Length

Max length	50
Median length	21
Mean length	21.4255156
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38224 ?
Unique (%)	65.2%

Sample

1st row	5145 North California Avenue
2nd row	334 N Lorel Ave., 2nd Floor
3rd row	7435 West Talcott Avenue
4th row	2160 South 1st Avenue
5th row	Advocate Christ Medical Center 4440 W 95th St.

Common Values

Value	Count	Frequency (%)
4440 West 95th Street	830	1.4%
1775 Dempster Street	693	1.1%
5841 South Maryland Avenue	652	1.1%
2100 Pfingsten Road	521	0.9%
2160 South 1st Avenue	463	0.8%
1 Ingalls Drive	419	0.7%
1500 South Fairfield Avenue	402	0.7%
12251 South 80th Avenue	392	0.6%
7435 West Talcott Avenue	362	0.6%
4440 W 95TH ST	362	0.6%
Other values (39800)	53574	88.5%
(Missing)	1867	3.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
avenue	12094	5.1%
s	10367	4.3%
w	8780	3.7%
street	8616	3.6%
west	7420	3.1%
south	7342	3.1%
ave	6068	2.5%
n	5021	2.1%
apt	4330	1.8%
st	3660	1.5%
Other values (15026)	164756	69.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

death_city
Categorical

HIGH CARDINALITY
MISSING

Distinct	293
Distinct (%)	0.5%
Missing	2173
Missing (%)	3.6%
Memory size	3.7 MiB

Chicago	33611
Oak Lawn	2272
Maywood	1210
Park Ridge	1021
Evanston	999
Other values (288)	19251

Length

Max length	22
Median length	7
Mean length	8.222551573
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	72 ?
Unique (%)	0.1%

Sample

1st row	Chicago
2nd row	Chicago
3rd row	Chicago
4th row	Maywood
5th row	Oak Lawn

Common Values

Value	Count	Frequency (%)
Chicago	33611	55.5%
Oak Lawn	2272	3.8%
Maywood	1210	2.0%
Park Ridge	1021	1.7%
Evanston	999	1.7%
Arlington Heights	858	1.4%
Glenview	811	1.3%
Harvey	802	1.3%
Berwyn	788	1.3%
Oak Park	762	1.3%
Other values (283)	15230	25.2%
(Missing)	2173	3.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chicago	34137	46.7%
park	4332	5.9%
oak	3179	4.4%
lawn	2273	3.1%
heights	2047	2.8%
maywood	1210	1.7%
ridge	1125	1.5%
evanston	1000	1.4%
palos	864	1.2%
grove	863	1.2%
Other values (264)	22018	30.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

death_county
Categorical

HIGH CORRELATION
MISSING

Distinct	17
Distinct (%)	0.1%
Missing	27597
Missing (%)	45.6%
Memory size	3.0 MiB

Cook County	32791
Du Page County	79
Will County	17
Lake County	16
Lake County/Indiana	10
Other values (12)	27

Length

Max length	19
Median length	11
Mean length	11.00768063
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	Cook County
2nd row	Cook County
3rd row	Cook County
4th row	Cook County
5th row	Cook County

Common Values

Value	Count	Frequency (%)
Cook County	32791	54.2%
Du Page County	79	0.1%
Will County	17	< 0.1%
Lake County	16	< 0.1%
Lake County/Indiana	10	< 0.1%
Kane County	6	< 0.1%
Cook	6	< 0.1%
McHenry County	3	< 0.1%
Ogle	2	< 0.1%
Kendall	2	< 0.1%
Other values (7)	8	< 0.1%
(Missing)	27597	45.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
county	32915	49.9%
cook	32797	49.7%
du	79	0.1%
page	79	0.1%
lake	26	< 0.1%
will	17	< 0.1%
county/indiana	10	< 0.1%
kane	6	< 0.1%
mchenry	3	< 0.1%
la	2	< 0.1%
Other values (9)	12	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

death_state
Categorical

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	2362
Missing (%)	3.9%
Memory size	4.1 MiB

IL	58099
IN	61
GA	7
WI	2
MI	2
Other values (4)	4

Length

Max length	15
Median length	15
Mean length	15
Min length	15

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	IL
2nd row	IL
3rd row	IL
4th row	IL
5th row	IL

Common Values

Value	Count	Frequency (%)
IL	58099	96.0%
IN	61	0.1%
GA	7	< 0.1%
WI	2	< 0.1%
MI	2	< 0.1%
IA	1	< 0.1%
TX	1	< 0.1%
MN	1	< 0.1%
OK	1	< 0.1%
(Missing)	2362	3.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
il	58099	99.9%
in	61	0.1%
ga	7	< 0.1%
wi	2	< 0.1%
mi	2	< 0.1%
ia	1	< 0.1%
tx	1	< 0.1%
mn	1	< 0.1%
ok	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

death_zip
Categorical

HIGH CARDINALITY
MISSING

Distinct	497
Distinct (%)	0.9%
Missing	3285
Missing (%)	5.4%
Memory size	3.5 MiB

60612	1853
60637	1511
60453	1461
60608	1367
60628	1340
Other values (492)	49720

Length

Max length	10
Median length	5
Mean length	4.999580801
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	163 ?
Unique (%)	0.3%

Sample

1st row	60659
2nd row	60644
3rd row	60631
4th row	60453
5th row	60619

Common Values

Value	Count	Frequency (%)
60612	1853	3.1%
60637	1511	2.5%
60453	1461	2.4%
60608	1367	2.3%
60628	1340	2.2%
60617	1210	2.0%
60629	1202	2.0%
60623	1156	1.9%
60624	1134	1.9%
60644	1116	1.8%
Other values (487)	43902	72.5%
(Missing)	3285	5.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
60612	1853	3.2%
60637	1511	2.6%
60453	1461	2.6%
60608	1367	2.4%
60628	1340	2.3%
60617	1210	2.1%
60629	1202	2.1%
60623	1156	2.0%
60624	1134	2.0%
60644	1116	1.9%
Other values (487)	43902	76.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

death_location
Categorical

HIGH CARDINALITY
MISSING

Distinct	5808
Distinct (%)	16.1%
Missing	24546
Missing (%)	40.5%
Memory size	3.2 MiB

RESIDENCE	2516
Residence	2320
HOSPITAL ICU	1264
HOSPITAL	1249
ER	1149
Other values (5803)	27493

Length

Max length	248
Median length	10
Mean length	13.75346614
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4083 ?
Unique (%)	11.3%

Sample

1st row	Hospital/ Hospice Floor
2nd row	Hospital
3rd row	ICU
4th row	hospital ER
5th row	on scene-alley

Common Values

Value	Count	Frequency (%)
RESIDENCE	2516	4.2%
Residence	2320	3.8%
HOSPITAL ICU	1264	2.1%
HOSPITAL	1249	2.1%
ER	1149	1.9%
SCENE	1046	1.7%
Hospital	1010	1.7%
HOSPITAL ER	980	1.6%
Hospital ER	692	1.1%
residence	666	1.1%
Other values (5798)	23099	38.2%
(Missing)	24546	40.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
hospital	11170	15.2%
residence	8248	11.3%
	4934	6.7%
er	3986	5.4%
icu	3727	5.1%
scene	2939	4.0%
apartment	1738	2.4%
bedroom	1279	1.7%
inpatient	1219	1.7%
emergency	1081	1.5%
Other values (1746)	32987	45.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

death_location_1
Categorical

HIGH CARDINALITY
MISSING

Distinct	152
Distinct (%)	0.3%
Missing	6950
Missing (%)	11.5%
Memory size	3.6 MiB

Hospital	16538
Residence	7148
Hospital-ER	6140
Scene	5390
Bedroom	2450
Other values (147)	15921

Length

Max length	24
Median length	8
Mean length	8.673838804
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	30 ?
Unique (%)	0.1%

Sample

1st row	Hospital
2nd row	Residence
3rd row	Hospital
4th row	Hospital
5th row	Hospital-ER

Common Values

Value	Count	Frequency (%)
Hospital	16538	27.3%
Residence	7148	11.8%
Hospital-ER	6140	10.1%
Scene	5390	8.9%
Bedroom	2450	4.0%
Apartment	2336	3.9%
Emergency Room	1482	2.4%
Nursing Home	1235	2.0%
Hospice	1233	2.0%
Decedent's Home	1145	1.9%
Other values (142)	8490	14.0%
(Missing)	6950	11.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
hospital	16538	27.6%
residence	7149	11.9%
hospital-er	6140	10.3%
scene	5390	9.0%
home	2927	4.9%
bedroom	2450	4.1%
apartment	2427	4.1%
room	2358	3.9%
emergency	1482	2.5%
nursing	1235	2.1%
Other values (169)	11739	19.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

covid_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	14175
1.0	12175

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	14175	23.4%
1.0	12175	20.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	14175	23.4%
1.0	12175	20.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

record_id
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	26350
Distinct (%)	100.0%
Missing	34187
Missing (%)	56.5%
Memory size	2.8 MiB

ME2019-04791	1
ME2019-04748	1
ME2019-04749	1
ME2019-04752	1
ME2019-04754	1
Other values (26345)	26345

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26350 ?
Unique (%)	100.0%

Sample

1st row	ME2021-11638
2nd row	ME2021-11637
3rd row	ME2021-11634
4th row	ME2021-11633
5th row	ME2021-11632

Common Values

Value	Count	Frequency (%)
ME2019-04791	1	< 0.1%
ME2019-04748	1	< 0.1%
ME2019-04749	1	< 0.1%
ME2019-04752	1	< 0.1%
ME2019-04754	1	< 0.1%
ME2019-04756	1	< 0.1%
ME2019-04761	1	< 0.1%
ME2019-04762	1	< 0.1%
ME2019-04777	1	< 0.1%
ME2019-04780	1	< 0.1%
Other values (26340)	26340	43.5%
(Missing)	34187	56.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
me2019-04791	1	< 0.1%
me2021-11613	1	< 0.1%
me2021-11633	1	< 0.1%
me2021-11632	1	< 0.1%
me2021-11628	1	< 0.1%
me2021-11627	1	< 0.1%
me2021-11626	1	< 0.1%
me2021-11624	1	< 0.1%
me2021-11623	1	< 0.1%
me2021-11622	1	< 0.1%
Other values (26340)	26340	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

covid_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	23763
1.0	2587

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	23763	39.3%
1.0	2587	4.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	23763	39.3%
1.0	2587	4.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

hypoxic-ischemic_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	24262
1.0	2088

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24262	40.1%
1.0	2088	3.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24262	40.1%
1.0	2088	3.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

hypoxia_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	24262
1.0	2088

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24262	40.1%
1.0	2088	3.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24262	40.1%
1.0	2088	3.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

op-name_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	25717
1.0	633

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25717	42.5%
1.0	633	1.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25717	42.5%
1.0	633	1.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

drug_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	14922
1.0	11428

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	14922	24.6%
1.0	11428	18.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	14922	24.6%
1.0	11428	18.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

nonfentanyl_opioid_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	20334
1.0	6016

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	20334	33.6%
1.0	6016	9.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	20334	33.6%
1.0	6016	9.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

opiate_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	17775
1.0	8575

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	17775	29.4%
1.0	8575	14.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	17775	29.4%
1.0	8575	14.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

alcohol_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	22219
1.0	4131

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	22219	36.7%
1.0	4131	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	22219	36.7%
1.0	4131	6.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

eth_alc_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	22219
1.0	4131

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	22219	36.7%
1.0	4131	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	22219	36.7%
1.0	4131	6.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

hypoxic-ischemic_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26281
1.0	69

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26281	43.4%
1.0	69	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26281	43.4%
1.0	69	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

hypoxia_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26281
1.0	69

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26281	43.4%
1.0	69	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26281	43.4%
1.0	69	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amphetamine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26177
1.0	173

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26177	43.2%
1.0	173	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26177	43.2%
1.0	173	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

stimulant_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	22572
1.0	3778

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	22572	37.3%
1.0	3778	6.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	22572	37.3%
1.0	3778	6.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

methamphetamine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26109
1.0	241

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26109	43.1%
1.0	241	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26109	43.1%
1.0	241	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amphetamine_based_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26215
1.0	135

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26215	43.3%
1.0	135	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26215	43.3%
1.0	135	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

hallucinogen_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26005
1.0	345

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26005	43.0%
1.0	345	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26005	43.0%
1.0	345	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

benzodiazepine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	24634
1.0	1716

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24634	40.7%
1.0	1716	2.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24634	40.7%
1.0	1716	2.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

benzo_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	24634
1.0	1716

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24634	40.7%
1.0	1716	2.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24634	40.7%
1.0	1716	2.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

sedative_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	24501
1.0	1849

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24501	40.5%
1.0	1849	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24501	40.5%
1.0	1849	3.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

cocaine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	22922
1.0	3428

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	22922	37.9%
1.0	3428	5.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	22922	37.9%
1.0	3428	5.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

alcohol_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	24569
1.0	1781

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24569	40.6%
1.0	1781	2.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24569	40.6%
1.0	1781	2.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

drug_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	23961
1.0	2389

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	23961	39.6%
1.0	2389	3.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	23961	39.6%
1.0	2389	3.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

eth_alc_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	24569
1.0	1781

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24569	40.6%
1.0	1781	2.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	24569	40.6%
1.0	1781	2.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

fentanyl-name_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	20521
1.0	5829

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	20521	33.9%
1.0	5829	9.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	20521	33.9%
1.0	5829	9.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

fentanyl_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	20459
1.0	5891

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	20459	33.8%
1.0	5891	9.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	20459	33.8%
1.0	5891	9.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

lorazepam_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26217
1.0	133

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26217	43.3%
1.0	133	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26217	43.3%
1.0	133	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

clonazepam_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	25968
1.0	382

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25968	42.9%
1.0	382	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25968	42.9%
1.0	382	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

methadone_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	25708
1.0	642

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25708	42.5%
1.0	642	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25708	42.5%
1.0	642	1.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

anpp_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	23357
1.0	2993

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	23357	38.6%
1.0	2993	4.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	23357	38.6%
1.0	2993	4.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

fen_analog_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	22541
1.0	3809

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	22541	37.2%
1.0	3809	6.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	22541	37.2%
1.0	3809	6.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

heroin_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	21938
1.0	4412

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	21938	36.2%
1.0	4412	7.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	21938	36.2%
1.0	4412	7.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

xylazine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26193
1.0	157

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26193	43.3%
1.0	157	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26193	43.3%
1.0	157	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

morphine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26185
1.0	165

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26185	43.3%
1.0	165	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26185	43.3%
1.0	165	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

alprazolam_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	25416
1.0	934

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25416	42.0%
1.0	934	1.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25416	42.0%
1.0	934	1.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

tramadol_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26083
1.0	267

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26083	43.1%
1.0	267	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26083	43.1%
1.0	267	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

pcp_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26149
1.0	201

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26149	43.2%
1.0	201	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26149	43.2%
1.0	201	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

buprenorphine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26279
1.0	71

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26279	43.4%
1.0	71	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26279	43.4%
1.0	71	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

hydromorphone_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	25914
1.0	436

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25914	42.8%
1.0	436	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25914	42.8%
1.0	436	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

hydrocodone_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	25911
1.0	439

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25911	42.8%
1.0	439	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25911	42.8%
1.0	439	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

inhalant_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26135
1.0	215

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26135	43.2%
1.0	215	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26135	43.2%
1.0	215	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

acetylfentanyl_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	25407
1.0	943

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25407	42.0%
1.0	943	1.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25407	42.0%
1.0	943	1.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

mitragynine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26263
1.0	87

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26263	43.4%
1.0	87	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26263	43.4%
1.0	87	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

oxycodone_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26201
1.0	149

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26201	43.3%
1.0	149	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26201	43.3%
1.0	149	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

cocaine_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	25872
1.0	478

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25872	42.7%
1.0	478	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25872	42.7%
1.0	478	0.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

stimulant_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	25842
1.0	508

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25842	42.7%
1.0	508	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25842	42.7%
1.0	508	0.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

dihydrocodeine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	25967
1.0	383

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25967	42.9%
1.0	383	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	25967	42.9%
1.0	383	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

diazepam_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26100
1.0	250

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26100	43.1%
1.0	250	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26100	43.1%
1.0	250	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

topiramate_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26311
1.0	39

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26311	43.5%
1.0	39	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26311	43.5%
1.0	39	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

cyclobenzaprine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26222
1.0	128

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26222	43.3%
1.0	128	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26222	43.3%
1.0	128	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

toxic_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26200
1.0	150

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26200	43.3%
1.0	150	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26200	43.3%
1.0	150	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

oxazepam_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26335
1.0	15

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26335	43.5%
1.0	15	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26335	43.5%
1.0	15	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

temazepam_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26309
1.0	41

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26309	43.5%
1.0	41	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26309	43.5%
1.0	41	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

carfentanyl_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26306
1.0	44

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26306	43.5%
1.0	44	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26306	43.5%
1.0	44	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ketamine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26338
1.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26338	43.5%
1.0	12	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26338	43.5%
1.0	12	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

oxymorphone_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26318
1.0	32

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26318	43.5%
1.0	32	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26318	43.5%
1.0	32	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

codeine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26299
1.0	51

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26299	43.4%
1.0	51	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26299	43.4%
1.0	51	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

methocarbamol_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26344
1.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26344	43.5%
1.0	6	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26344	43.5%
1.0	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

chlordiazepoxide_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26329
1.0	21

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26329	43.5%
1.0	21	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26329	43.5%
1.0	21	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

acetylsalicylic acid_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26341
1.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26341	43.5%
1.0	9	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26341	43.5%
1.0	9	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

acetylsalicylic acid_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26331
1.0	19

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26331	43.5%
1.0	19	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26331	43.5%
1.0	19	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

polysubstance_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26348
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

levomethorphan_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26307
1.0	43

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26307	43.5%
1.0	43	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26307	43.5%
1.0	43	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

levorphanol_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26317
1.0	33

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26317	43.5%
1.0	33	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26317	43.5%
1.0	33	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

butyryl_fentanyl_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26347
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26347	43.5%
1.0	3	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26347	43.5%
1.0	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

heroin_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26268
1.0	82

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26268	43.4%
1.0	82	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26268	43.4%
1.0	82	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

nonfentanyl_opioid_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26205
1.0	145

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26205	43.3%
1.0	145	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26205	43.3%
1.0	145	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

opiate_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26176
1.0	174

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26176	43.2%
1.0	174	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26176	43.2%
1.0	174	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

fentanyl-name_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26277
1.0	73

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26277	43.4%
1.0	73	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26277	43.4%
1.0	73	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

fentanyl_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26276
1.0	74

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26276	43.4%
1.0	74	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26276	43.4%
1.0	74	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

anpp_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26330
1.0	20

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26330	43.5%
1.0	20	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26330	43.5%
1.0	20	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

fen_analog_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26321
1.0	29

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26321	43.5%
1.0	29	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26321	43.5%
1.0	29	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

valerylfentanyl_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26335
1.0	15

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26335	43.5%
1.0	15	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26335	43.5%
1.0	15	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

estazolam_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26348
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

carisoprodol_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26337
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26337	43.5%
1.0	13	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26337	43.5%
1.0	13	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

inhalant_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26335
1.0	15

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26335	43.5%
1.0	15	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26335	43.5%
1.0	15	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

lsd_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26346
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26346	43.5%
1.0	4	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26346	43.5%
1.0	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

propoxyphene_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

fbf_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26331
1.0	19

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26331	43.5%
1.0	19	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26331	43.5%
1.0	19	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

barbiturates_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26346
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26346	43.5%
1.0	4	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26346	43.5%
1.0	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amphetamine_based_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26344
1.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26344	43.5%
1.0	6	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26344	43.5%
1.0	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

hallucinogen_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26319
1.0	31

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26319	43.5%
1.0	31	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26319	43.5%
1.0	31	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

marijuana_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26342
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26342	43.5%
1.0	8	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26342	43.5%
1.0	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

cannabis_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26342
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26342	43.5%
1.0	8	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26342	43.5%
1.0	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

op-name_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26320
1.0	30

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26320	43.5%
1.0	30	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26320	43.5%
1.0	30	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

benzodiazepine_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26321
1.0	29

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26321	43.5%
1.0	29	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26321	43.5%
1.0	29	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

benzo_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26321
1.0	29

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26321	43.5%
1.0	29	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26321	43.5%
1.0	29	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

sedative_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26319
1.0	31

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26319	43.5%
1.0	31	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26319	43.5%
1.0	31	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

methylphenidate_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26346
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26346	43.5%
1.0	4	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26346	43.5%
1.0	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

u-47700_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26308
1.0	42

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26308	43.5%
1.0	42	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26308	43.5%
1.0	42	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

norfentanyl_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26328
1.0	22

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26328	43.5%
1.0	22	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26328	43.5%
1.0	22	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

pcp_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26328
1.0	22

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26328	43.5%
1.0	22	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26328	43.5%
1.0	22	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

polysubstance_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26339
1.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26339	43.5%
1.0	11	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26339	43.5%
1.0	11	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

metaxalone_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26345
1.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26345	43.5%
1.0	5	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26345	43.5%
1.0	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

tarpentadol_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

methadone_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26325
1.0	25

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26325	43.5%
1.0	25	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26325	43.5%
1.0	25	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

cyclopropyl_fentanyl_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26204
1.0	146

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26204	43.3%
1.0	146	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26204	43.3%
1.0	146	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

phentermine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26346
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26346	43.5%
1.0	4	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26346	43.5%
1.0	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

methoxyacetyl_fentanyl_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26312
1.0	38

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26312	43.5%
1.0	38	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26312	43.5%
1.0	38	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

furanyl_fentanyl_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26135
1.0	215

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26135	43.2%
1.0	215	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26135	43.2%
1.0	215	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

fbf_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

fibf_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26346
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26346	43.5%
1.0	4	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26346	43.5%
1.0	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

flurazepam_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26345
1.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26345	43.5%
1.0	5	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26345	43.5%
1.0	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

acetylfentanyl_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26341
1.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26341	43.5%
1.0	9	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26341	43.5%
1.0	9	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

u-49900_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26347
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26347	43.5%
1.0	3	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26347	43.5%
1.0	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

tizanidine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

furanyl_fentanyl_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

lsd_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

methamphetamine_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26326
1.0	24

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26326	43.5%
1.0	24	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26326	43.5%
1.0	24	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

hydromorphone_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26342
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26342	43.5%
1.0	8	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26342	43.5%
1.0	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

hydrocodone_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26342
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26342	43.5%
1.0	8	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26342	43.5%
1.0	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

dihydrocodeine_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26342
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26342	43.5%
1.0	8	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26342	43.5%
1.0	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amphetamine_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26337
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26337	43.5%
1.0	13	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26337	43.5%
1.0	13	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

meperidine_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

clonazepam_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26344
1.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26344	43.5%
1.0	6	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26344	43.5%
1.0	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

alprazolam_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26336
1.0	14

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26336	43.5%
1.0	14	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26336	43.5%
1.0	14	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

xylazine_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26348
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

mitragynine_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26348
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

codeine_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26346
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26346	43.5%
1.0	4	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26346	43.5%
1.0	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ketamine_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26348
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

diazepam_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26348
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

oxycodone_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26342
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26342	43.5%
1.0	8	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26342	43.5%
1.0	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

levomethorphan_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

levorphanol_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

lorazepam_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

marijuana_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26348
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

cannabis_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26348
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

oxymorphone_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

tramadol_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26348
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26348	43.5%
1.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

cyclobenzaprine_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

toxic_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

topiramate_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

morphine_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26344
1.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26344	43.5%
1.0	6	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26344	43.5%
1.0	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

buprenorphine_secondary
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

9.0	34187
0.0	26349
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	9.0
2nd row	9.0
3rd row	9.0
4th row	9.0
5th row	9.0

Common Values

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9.0	34187	56.5%
0.0	26349	43.5%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	casenumber	incident_date_x	death_date_x	age	gender	race	latino	commissioner_district	residence_city	residence_zip	manner	primarycause	gunrelated	opioids	secondarycause	primarycause_linea	primarycause_lineb	primarycause_linec	geocoded_score	geocoded_address	full_address	recovered	final_latitude	final_longitude	distance_between_points	closest_pharmacy	FIRST_COUNTY	LANDUSE	LANDUSE2	OS_MGMT	FAC_NAME	PLATTED	MODIFIER	STATEFP	COUNTYFP	TRACTCE	GEOID	NAME	NAMELSAD	MTFCC	FUNCSTAT	ALAND	AWATER	INTPTLAT	INTPTLON	OBJECTID_12	CFNAME	CFTYPE	CFSUBTYPE	ADDRESS	GNISCODE	COMMENT	SOURCE	Jurisdicti	Community	landuse_name	landuse_sub_name	landuse_major_name	death_datetime	death_time	death_year	death_month	death_day	death_week	motel	primary_combined	repeated_address	repeated_lat_long	incident_date_y	death_date_y	death_street	death_city	death_county	death_state	death_zip	death_location	death_location_1	covid_primary	record_id	covid_secondary	hypoxic-ischemic_primary	hypoxia_primary	op-name_primary	drug_primary	nonfentanyl_opioid_primary	opiate_primary	alcohol_primary	eth_alc_primary	hypoxic-ischemic_secondary	hypoxia_secondary	amphetamine_primary	stimulant_primary	methamphetamine_primary	amphetamine_based_primary	hallucinogen_primary	benzodiazepine_primary	benzo_primary	sedative_primary	cocaine_primary	alcohol_secondary	drug_secondary	eth_alc_secondary	fentanyl-name_primary	fentanyl_primary	lorazepam_primary	clonazepam_primary	methadone_primary	anpp_primary	fen_analog_primary	heroin_primary	xylazine_primary	morphine_primary	alprazolam_primary	tramadol_primary	pcp_primary	buprenorphine_primary	hydromorphone_primary	hydrocodone_primary	inhalant_primary	acetylfentanyl_primary	mitragynine_primary	oxycodone_primary	cocaine_secondary	stimulant_secondary	dihydrocodeine_primary	diazepam_primary	topiramate_primary	cyclobenzaprine_primary	toxic_primary	oxazepam_primary	temazepam_primary	carfentanyl_primary	ketamine_primary	oxymorphone_primary	codeine_primary	methocarbamol_primary	chlordiazepoxide_primary	acetylsalicylic acid_secondary	acetylsalicylic acid_primary	polysubstance_primary	levomethorphan_primary	levorphanol_primary	butyryl_fentanyl_primary	heroin_secondary	nonfentanyl_opioid_secondary	opiate_secondary	fentanyl-name_secondary	fentanyl_secondary	anpp_secondary	fen_analog_secondary	valerylfentanyl_primary	estazolam_primary	carisoprodol_primary	inhalant_secondary	lsd_primary	propoxyphene_primary	fbf_primary	barbiturates_primary	amphetamine_based_secondary	hallucinogen_secondary	marijuana_primary	cannabis_primary	op-name_secondary	benzodiazepine_secondary	benzo_secondary	sedative_secondary	methylphenidate_primary	u-47700_primary	norfentanyl_primary	pcp_secondary	polysubstance_secondary	metaxalone_primary	tarpentadol_primary	methadone_secondary	cyclopropyl_fentanyl_primary	phentermine_primary	methoxyacetyl_fentanyl_primary	furanyl_fentanyl_primary	fbf_secondary	fibf_primary	flurazepam_primary	acetylfentanyl_secondary	u-49900_primary	tizanidine_primary	furanyl_fentanyl_secondary	lsd_secondary	methamphetamine_secondary	hydromorphone_secondary	hydrocodone_secondary	dihydrocodeine_secondary	amphetamine_secondary	meperidine_primary	clonazepam_secondary	alprazolam_secondary	xylazine_secondary	mitragynine_secondary	codeine_secondary	ketamine_secondary	diazepam_secondary	oxycodone_secondary	levomethorphan_secondary	levorphanol_secondary	lorazepam_secondary	marijuana_secondary	cannabis_secondary	oxymorphone_secondary	tramadol_secondary	cyclobenzaprine_secondary	toxic_secondary	topiramate_secondary	morphine_secondary	buprenorphine_secondary
0	ME2021-11723	2021-12-13T16:00:00.000	2021-12-14	66.0	Female	White	0	10.0	Chicago	60659.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	41.984573	-87.694033	-1.000000	9801.384878	31.0	1130.0		NaN	NaN	NaN	NaN	17.0	31.0	20801.0	1.703102e+10	208.01	Census Tract 208.01	G5020	S	655953.0	0.0	41.986808	-87.694415	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Multi-Family	Residential	Urbanized	2021-12-14 20:15:00	20:15:00	2021.0	12.0	14.0	50.0	NaN	NaN	0	0	12/13/2021 04:00 PM	12/14/2021 08:15 PM	5145 North California Avenue	Chicago	Cook County	IL	60659	Hospital/ Hospice Floor	Hospital	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
1	ME2021-11722	2021-12-15T02:55:00.000	2021-12-15	67.0	Female	Black	0	1.0	Chicago	60644.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	41.886646	-87.759267	9816.496823	9801.384878	31.0	1111.0		NaN	NaN	NaN	NaN	17.0	31.0	251900.0	1.703125e+10	2519.00	Census Tract 2519	G5020	S	632452.0	0.0	41.883812	-87.760094	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Single-Family Detached	Residential	Urbanized	2021-12-15 03:16:00	03:16:00	2021.0	12.0	15.0	50.0	NaN	NaN	1	1	12/15/2021 02:55 AM	12/15/2021 03:16 AM	334 N Lorel Ave., 2nd Floor	Chicago	NaN	IL	60644	NaN	Residence	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
2	ME2021-11721	2021-12-07T09:38:00.000	2021-12-15	80.0	Female	White	0	10.0	Chicago	60646.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	41.986009	-87.781317	-1.000000	9801.384878	31.0	1111.0		NaN	NaN	NaN	NaN	17.0	31.0	100100.0	1.703110e+10	1001.00	Census Tract 1001	G5020	S	1182384.0	0.0	41.989584	-87.783014	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Single-Family Detached	Residential	Urbanized	2021-12-15 00:29:00	00:29:00	2021.0	12.0	15.0	50.0	NaN	NaN	1	1	12/07/2021 09:38 AM	12/15/2021 12:29 AM	7435 West Talcott Avenue	Chicago	Cook County	IL	60631	Hospital	Hospital	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
3	ME2021-11720	2021-12-14T20:00:00.000	2021-12-15	NaN	Female	White	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	92.0	Tri State Toll Rd, Hinsdale, Illinois, 60521	5800 tri state toll rd 5801 HINSDALE 60521	1	41.772205	-87.907205	9821.601868	1.596410	31.0	6000.0	NaN	NaN	NaN	NaN	NaN	17.0	31.0	820101.0	1.703182e+10	8201.01	Census Tract 8201.01	G5020	S	6973465.0	48267.0	41.776190	-87.903427	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NON-PARCEL AREAS	Non-Parcel Areas	Non-Parcel Areas	2021-12-15 00:52:00	00:52:00	2021.0	12.0	15.0	50.0	0.0	NaN	0	0	12/14/2021 08:00 PM	12/15/2021 12:52 AM	2160 South 1st Avenue	Maywood	Cook County	IL	NaN	ICU	Hospital	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
4	ME2021-11719	2021-12-15T00:01:00.000	2021-12-15	36.0	Female	Black	0	6.0	Chicago Ridge	60415.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	41.711734	-87.794728	-1.000000	9801.384878	31.0	1130.0		NaN	NaN	NaN	NaN	17.0	31.0	823001.0	1.703182e+10	8230.01	Census Tract 8230.01	G5020	S	3644304.0	0.0	41.706965	-87.784187	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Multi-Family	Residential	Urbanized	2021-12-15 00:40:00	00:40:00	2021.0	12.0	15.0	50.0	NaN	NaN	1	1	12/15/2021 12:01 AM	12/15/2021 12:40 AM	Advocate Christ Medical Center 4440 W 95th St.	Oak Lawn	Cook County	IL	60453	hospital ER	Hospital-ER	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
5	ME2021-11718	2021-12-14T18:05:00.000	2021-12-14	61.0	Male	Black	0	3.0	Chicago	60653.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	41.751085	-87.602678	9823.712437	9801.384878	31.0	6000.0	NaN	NaN	NaN	NaN	NaN	17.0	31.0	440101.0	1.703144e+10	4401.01	Census Tract 4401.01	G5020	S	377008.0	0.0	41.748627	-87.601451	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NON-PARCEL AREAS	Non-Parcel Areas	Non-Parcel Areas	2021-12-14 18:10:00	18:10:00	2021.0	12.0	14.0	50.0	NaN	NaN	1	1	12/14/2021 06:05 PM	12/14/2021 06:10 PM	7911 S Drexel Ave	Chicago	NaN	IL	60619	on scene-alley	Alley	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
6	ME2021-11717	2021-12-14T16:00:00.000	2021-12-14	43.0	Male	White	1	7.0	CHICAGO	60629.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	41.776729	-87.715648	-1.000000	9801.384878	31.0	1111.0		NaN	NaN	NaN	NaN	17.0	31.0	650302.0	1.703165e+10	6503.02	Census Tract 6503.02	G5020	S	664019.0	0.0	41.775093	-87.717733	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Single-Family Detached	Residential	Urbanized	2021-12-14 21:48:00	21:48:00	2021.0	12.0	14.0	50.0	NaN	NaN	1	1	12/14/2021 04:00 PM	12/14/2021 09:48 PM	4440 West 95th Street	Oak Lawn	Cook County	IL	60453	Hospital	Hospital	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
7	ME2021-11716	2021-12-14T21:56:00.000	2021-12-14	26.0	Male	White	1	11.0	Hometown	60456.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	41.730161	-87.736383	9833.533810	9801.384878	31.0	1112.0		NaN	NaN	NaN	NaN	17.0	31.0	822000.0	1.703182e+10	8220.00	Census Tract 8220	G5020	S	1240338.0	0.0	41.731248	-87.731134	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Single-Family Attached	Residential	Urbanized	2021-12-14 22:35:00	22:35:00	2021.0	12.0	14.0	50.0	NaN	NaN	1	1	12/14/2021 09:56 PM	12/14/2021 10:35 PM	4331 Southwest Highway	Oak Lawn	Cook County	IL	60453	Hospital ER	Hospital-ER	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
8	ME2021-11715	2021-12-14T21:16:00.000	2021-12-14	46.0	Male	Black	0	5.0	Chicago	60628.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	41.676049	-87.631701	-1.000000	9801.384878	31.0	6000.0	NaN	NaN	NaN	NaN	NaN	17.0	31.0	530501.0	1.703153e+10	5305.01	Census Tract 5305.01	G5020	S	1296493.0	0.0	41.674278	-87.632166	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NON-PARCEL AREAS	Non-Parcel Areas	Non-Parcel Areas	2021-12-14 21:50:00	21:50:00	2021.0	12.0	14.0	50.0	NaN	NaN	1	1	12/14/2021 09:16 PM	12/14/2021 09:50 PM	355 W. 120th St.	Chicago	Cook County	IL	60628	Scene	Scene	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
9	ME2021-11714	2021-12-14T00:00:00.000	2021-12-14	89.0	Female	Black	0	NaN	Phoenix	60426.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN	NaN	9824.037201	9801.384878	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2021-12-14 18:40:00	18:40:00	2021.0	12.0	14.0	50.0	NaN	NaN	1	1	12/14/2021 12:00 AM	12/14/2021 06:40 PM	1 INGALLS DRIVE - ICU	Harvey	Cook County	IL	60426	IN HOSPITAL-ICU	NaN	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0

Last rows

	casenumber	incident_date_x	death_date_x	age	gender	race	commissioner_district	residence_city	residence_zip	manner	primarycause	gunrelated	opioids	secondarycause	primarycause_linea	primarycause_lineb	primarycause_linec	geocoded_score	geocoded_address	full_address	recovered	final_latitude	final_longitude	distance_between_points	closest_pharmacy	FIRST_COUNTY	LANDUSE	LANDUSE2	OS_MGMT	FAC_NAME	PLATTED	MODIFIER	STATEFP	COUNTYFP	TRACTCE	GEOID	NAME	NAMELSAD	MTFCC	FUNCSTAT	ALAND	AWATER	INTPTLAT	INTPTLON	OBJECTID_12	CFNAME	CFTYPE	CFSUBTYPE	ADDRESS	GNISCODE	COMMENT	SOURCE	Jurisdicti	Community	landuse_name	landuse_sub_name	landuse_major_name	death_datetime	death_time	death_year	death_month	death_day	death_week	motel	primary_combined	repeated_address	repeated_lat_long	incident_date_y	death_date_y	death_street	death_city	death_county	death_state	death_zip	death_location	death_location_1	covid_primary	record_id	covid_secondary	hypoxic-ischemic_primary	hypoxia_primary	op-name_primary	drug_primary	nonfentanyl_opioid_primary	opiate_primary	alcohol_primary	eth_alc_primary	hypoxic-ischemic_secondary	hypoxia_secondary	amphetamine_primary	stimulant_primary	methamphetamine_primary	amphetamine_based_primary	hallucinogen_primary	benzodiazepine_primary	benzo_primary	sedative_primary	cocaine_primary	alcohol_secondary	drug_secondary	eth_alc_secondary	fentanyl-name_primary	fentanyl_primary	lorazepam_primary	clonazepam_primary	methadone_primary	anpp_primary	fen_analog_primary	heroin_primary	xylazine_primary	morphine_primary	alprazolam_primary	tramadol_primary	pcp_primary	buprenorphine_primary	hydromorphone_primary	hydrocodone_primary	inhalant_primary	acetylfentanyl_primary	mitragynine_primary	oxycodone_primary	cocaine_secondary	stimulant_secondary	dihydrocodeine_primary	diazepam_primary	topiramate_primary	cyclobenzaprine_primary	toxic_primary	oxazepam_primary	temazepam_primary	carfentanyl_primary	ketamine_primary	oxymorphone_primary	codeine_primary	methocarbamol_primary	chlordiazepoxide_primary	acetylsalicylic acid_secondary	acetylsalicylic acid_primary	polysubstance_primary	levomethorphan_primary	levorphanol_primary	butyryl_fentanyl_primary	heroin_secondary	nonfentanyl_opioid_secondary	opiate_secondary	fentanyl-name_secondary	fentanyl_secondary	anpp_secondary	fen_analog_secondary	valerylfentanyl_primary	estazolam_primary	carisoprodol_primary	inhalant_secondary	lsd_primary	propoxyphene_primary	fbf_primary	barbiturates_primary	amphetamine_based_secondary	hallucinogen_secondary	marijuana_primary	cannabis_primary	op-name_secondary	benzodiazepine_secondary	benzo_secondary	sedative_secondary	methylphenidate_primary	u-47700_primary	norfentanyl_primary	pcp_secondary	polysubstance_secondary	metaxalone_primary	tarpentadol_primary	methadone_secondary	cyclopropyl_fentanyl_primary	phentermine_primary	methoxyacetyl_fentanyl_primary	furanyl_fentanyl_primary	fbf_secondary	fibf_primary	flurazepam_primary	acetylfentanyl_secondary	u-49900_primary	tizanidine_primary	furanyl_fentanyl_secondary	lsd_secondary	methamphetamine_secondary	hydromorphone_secondary	hydrocodone_secondary	dihydrocodeine_secondary	amphetamine_secondary	meperidine_primary	clonazepam_secondary	alprazolam_secondary	xylazine_secondary	mitragynine_secondary	codeine_secondary	ketamine_secondary	diazepam_secondary	oxycodone_secondary	levomethorphan_secondary	levorphanol_secondary	lorazepam_secondary	marijuana_secondary	cannabis_secondary	oxymorphone_secondary	tramadol_secondary	cyclobenzaprine_secondary	toxic_secondary	topiramate_secondary	morphine_secondary	buprenorphine_secondary
60527	ME2014-00010	2014-08-11T14:30:00.000	2014-08-11	50.0	Male	White	9.0	Chicago	60631.0	NATURAL	ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	41.993549	-87.799647	9805.081107	9801.384878	31.0	1130.0		NaN	NaN	NaN	NaN	17.0	31.0	100200.0	1.703110e+10	1002.00	Census Tract 1002	G5020	S	2060321.0	0.0	41.995773	-87.794259	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Multi-Family	Residential	Urbanized	2014-08-11 15:41:00	15:41:00	2014.0	8.0	11.0	33.0	NaN	ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE	1	1	08/11/2014 02:30 PM	08/11/2014 03:41 PM	6221 north Niagara	Chicago	NaN	IL	60631	NaN	NaN	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
60528	ME2014-00009	2014-06-17T18:51:00.000	2014-06-24	60.0	Male	White	NaN	Elgin	60120.0	ACCIDENT	COMPLICATIONS OF BLUNT ABDOMINAL TRAUMA	0.0	0.0	METASTATIC PANCREATIC CARCINOMA.	MOTOR VEHICLE STRIKING FIXED OBJECT	NaN	NaN	100.00	60120, Elgin, Illinois	ELGIN 60120	1	42.027360	-88.255630	-1.000000	0.076984	31.0	1140.0		NaN	NaN	NaN	NaN	17.0	31.0	804406.0	1.703180e+10	8044.06	Census Tract 8044.06	G5020	S	7052082.0	41081.0	42.017477	-88.256180	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Mobile Home Parks and Trailer Courts	Residential	Urbanized	2014-06-24 15:41:00	15:41:00	2014.0	6.0	24.0	26.0	0.0	COMPLICATIONS OF BLUNT ABDOMINAL TRAUMAMOTOR VEHICLE STRIKING FIXED OBJECT	0	1	06/17/2014 06:51 PM	06/24/2014 03:41 PM	410 Lawrence Avenue	Elgin	Kane County	IL	60120	NaN	NaN	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
60529	ME2014-00008	2014-08-09T00:05:00.000	2014-08-09	74.0	Female	Black	10.0	Chicago	60613.0	NATURAL	HYPERTENSIVE ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	41.950017	-87.646462	9810.867533	9801.384878	31.0	1130.0		NaN	NaN	NaN	NaN	17.0	31.0	60900.0	1.703106e+10	609.00	Census Tract 609	G5020	S	499066.0	404435.0	41.951517	-87.641778	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Multi-Family	Residential	Urbanized	2014-08-09 02:00:00	02:00:00	2014.0	8.0	9.0	32.0	NaN	HYPERTENSIVE ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE	1	1	08/09/2014 12:05 AM	08/09/2014 02:00 AM	648 West Waveland	Chicago	Cook County	IL	60613	NaN	NaN	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
60530	ME2014-00007	2014-08-11T18:27:00.000	2014-08-11	75.0	Female	White	3.0	Chicago	60615.0	SUICIDE	DROWNING	0.0	0.0	NaN	MULTIPLE BLUNT FORCE INJURIES	JUMPED INTO LAKE	NaN	NaN	NaN	NaN	0	41.795550	-87.580807	-1.000000	9801.384878	31.0	3100.0		MUNI	NaN	NaN	NaN	17.0	31.0	410900.0	1.703141e+10	4109.00	Census Tract 4109	G5020	S	387624.0	578244.0	41.796710	-87.578094	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Open Space - Primarily Recreation	Primarily Recreation	Open Space	2014-08-11 14:52:00	14:52:00	2014.0	8.0	11.0	33.0	NaN	DROWNINGMULTIPLE BLUNT FORCE INJURIESJUMPED INTO LAKE	1	1	08/11/2014 06:27 PM	08/11/2014 02:52 PM	5491 South Shore Drive	Chicago	Cook County	IL	60605	NaN	Lake	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
60531	ME2014-00006	2014-08-10T07:15:00.000	2014-08-10	82.0	Female	White	12.0	Chicago	60634.0	NATURAL	ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	41.954293	-87.769168	9819.710337	9801.384878	31.0	1111.0		NaN	NaN			17.0	31.0	150402.0	1.703115e+10	1504.02	Census Tract 1504.02	G5020	S	662508.0	0.0	41.956798	-87.772044	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Single-Family Detached	Residential	Urbanized	2014-08-10 08:00:00	08:00:00	2014.0	8.0	10.0	32.0	NaN	ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE	1	1	08/10/2014 07:15 AM	08/10/2014 08:00 AM	4037 North Major	Chicago	NaN	IL	60634	NaN	NaN	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
60532	ME2014-00005	2014-08-11T11:40:00.000	2014-08-11	47.0	Male	White	16.0	Cicero	60804.0	ACCIDENT	ASPHYXIA	0.0	0.0	NaN	CHOKING ON FOOD BOLUS	NaN	NaN	NaN	NaN	NaN	0	41.836066	-87.764219	-1.000000	9801.384878	31.0	1215.0		NaN	NaN	NaN	NaN	17.0	31.0	814400.0	1.703181e+10	8144.00	Census Tract 8144	G5020	S	1665055.0	0.0	41.827686	-87.763547	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Urban Mix	Commercial	Urbanized	2014-08-11 12:26:00	12:26:00	2014.0	8.0	11.0	33.0	NaN	ASPHYXIACHOKING ON FOOD BOLUS	1	1	08/11/2014 11:40 AM	08/11/2014 12:26 PM	3100 S. Central Avenue	Cicero	NaN	IL	60804	NaN	Hospital-ER	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
60533	ME2014-00004	2014-08-11T10:18:00.000	2014-08-11	24.0	Male	White	NaN	Chicago	60625.0	NATURAL	PNEUMONIA	0.0	0.0	NaN	NaN	NaN	NaN	95.87	4620 N Spaulding Ave, Chicago, Illinois, 60625	4620 n. spaudling CHICAGO 60625	1	41.965311	-87.710998	9826.870440	0.373775	31.0	1130.0		NaN	NaN	NaN	NaN	17.0	31.0	140701.0	1.703114e+10	1407.01	Census Tract 1407.01	G5020	S	228328.0	0.0	41.967038	-87.712652	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Multi-Family	Residential	Urbanized	2014-08-11 10:35:00	10:35:00	2014.0	8.0	11.0	33.0	0.0	PNEUMONIA	0	0	08/11/2014 10:18 AM	08/11/2014 10:35 AM	4620 N. Spaudling 2nd Flr.	Chicago	Cook County	IL	60625	NaN	NaN	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
60534	ME2014-00003	2014-08-11T09:05:00.000	2014-08-11	74.0	Male	Black	3.0	Chicago	60653.0	NATURAL	ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	41.809491	-87.613025	-1.000000	9801.384878	31.0	6000.0	NaN	NaN	NaN	NaN	NaN	17.0	31.0	381200.0	1.703138e+10	3812.00	Census Tract 3812	G5020	S	258553.0	0.0	41.808511	-87.613999	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NON-PARCEL AREAS	Non-Parcel Areas	Non-Parcel Areas	2014-08-11 09:40:00	09:40:00	2014.0	8.0	11.0	33.0	NaN	ARTERIOSCLEROTIC CARDIOVASCULAR DISEASE	1	1	08/11/2014 09:05 AM	08/11/2014 09:40 AM	520 E. 47th Street Room 325	Chicago	NaN	IL	60653	NaN	Decedent's Home	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
60535	ME2014-00002	NaN	2014-08-11	57.0	Male	White	NaN	Chicago	60614.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN	NaN	9811.944313	9801.384878	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2014-08-11 13:00:00	13:00:00	2014.0	8.0	11.0	33.0	NaN	NaN	1	1	NaN	08/11/2014 01:00 PM	NaN	NaN	NaN	NaN	NaN	residence	NaN	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0
60536	ME2014-00001	2014-08-11T06:45:00.000	2014-08-11	64.0	Male	White	4.0	Chicago	60617.0	SUICIDE	GUNSHOT WOUND OF THE HEAD	1.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	41.730320	-87.548255	-1.000000	9801.384878	31.0	1216.0		NaN	NaN	NaN	NaN	17.0	31.0	833900.0	1.703183e+10	8339.00	Census Tract 8339	G5020	S	677853.0	24124.0	41.731032	-87.547423	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Urban Mix w/Residential Component	Commercial	Urbanized	2014-08-11 06:56:00	06:56:00	2014.0	8.0	11.0	33.0	NaN	GUNSHOT WOUND OF THE HEAD	1	1	08/11/2014 06:45 AM	08/11/2014 06:56 AM	3102 E. 91st Street	Chicago	NaN	IL	60617	NaN	Decedent's Home	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0

Overview

Variables

Common Values

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Most occurring characters

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Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

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Most occurring scripts

Most frequent character per script

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Most frequent character per block

Common Values

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Most occurring characters

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Most frequent character per category

Most occurring scripts

Most frequent character per script

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Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values